听力与言语-语言病理学

行为科学

医学伦理学

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  • MITGARD: an automated pipeline for mitochondrial genome assembly in eukaryotic species using RNA-seq data.

    abstract:MOTIVATION:Over the past decade, the field of next-generation sequencing (NGS) has seen dramatic advances in methods and a decrease in costs. Consequently, a large expansion of data has been generated by NGS, most of which have originated from RNA-sequencing (RNA-seq) experiments. Because mitochondrial genes are expres...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa429

    authors: Nachtigall PG,Grazziotin FG,Junqueira-de-Azevedo ILM

    更新日期:2021-01-30 00:00:00

  • HVIDB: a comprehensive database for human-virus protein-protein interactions.

    abstract::While leading to millions of people's deaths every year the treatment of viral infectious diseases remains a huge public health challenge.Therefore, an in-depth understanding of human-virus protein-protein interactions (PPIs) as the molecular interface between a virus and its host cell is of paramount importance to ob...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa425

    authors: Yang X,Lian X,Fu C,Wuchty S,Yang S,Zhang Z

    更新日期:2021-01-30 00:00:00

  • Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing.

    abstract::Small noncoding RNAs (sRNA/sncRNAs) are generated from different genomic loci and play important roles in biological processes, such as cell proliferation and the regulation of gene expression. Next-generation sequencing (NGS) has provided an unprecedented opportunity to discover and quantify diverse kinds of sncRNA, ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz151

    authors: Liu Q,Ding C,Lang X,Guo G,Chen J,Su X

    更新日期:2021-01-18 00:00:00

  • Hybrid modelling of biological systems using fuzzy continuous Petri nets.

    abstract::Integrated modelling of biological systems is challenged by composing components with sufficient kinetic data and components with insufficient kinetic data or components built only using experts' experience and knowledge. Fuzzy continuous Petri nets (FCPNs) combine continuous Petri nets with fuzzy inference systems, a...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz114

    authors: Liu F,Sun W,Heiner M,Gilbert D

    更新日期:2021-01-18 00:00:00

  • Molecular dynamics simulations for genetic interpretation in protein coding regions: where we are, where to go and when.

    abstract::The increasing ease with which massive genetic information can be obtained from patients or healthy individuals has stimulated the development of interpretive bioinformatics tools as aids in clinical practice. Most such tools analyze evolutionary information and simple physical-chemical properties to predict whether r...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz146

    authors: Galano-Frutos JJ,García-Cebollada H,Sancho J

    更新日期:2021-01-18 00:00:00

  • GenoPheno: cataloging large-scale phenotypic and next-generation sequencing data within human datasets.

    abstract::Precision medicine promises to revolutionize treatment, shifting therapeutic approaches from the classical one-size-fits-all to those more tailored to the patient's individual genomic profile, lifestyle and environmental exposures. Yet, to advance precision medicine's main objective-ensuring the optimum diagnosis, tre...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa033

    authors: Gutiérrez-Sacristán A,De Niz C,Kothari C,Kong SW,Mandl KD,Avillach P

    更新日期:2021-01-18 00:00:00

  • A network-based algorithm for the identification of moonlighting noncoding RNAs and its application in sepsis.

    abstract::Moonlighting proteins provide more options for cells to execute multiple functions without increasing the genome and transcriptome complexity. Although there have long been calls for computational methods for the prediction of moonlighting proteins, no method has been designed for determining moonlighting long noncodi...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz154

    authors: Liu X,Xu Y,Wang R,Liu S,Wang J,Luo Y,Leung KS,Cheng L

    更新日期:2021-01-18 00:00:00

  • Bioinformatics resources for SARS-CoV-2 discovery and surveillance.

    abstract::In early January 2020, the novel coronavirus (SARS-CoV-2) responsible for a pneumonia outbreak in Wuhan, China, was identified using next-generation sequencing (NGS) and readily available bioinformatics pipelines. In addition to virus discovery, these NGS technologies and bioinformatics resources are currently being e...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa386

    authors: Hu T,Li J,Zhou H,Li C,Holmes EC,Shi W

    更新日期:2021-01-08 00:00:00

  • Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.

    abstract:OBJECTIVE:Development of novel informatics methods focused on improving pregnancy outcomes remains an active area of research. The purpose of this study is to systematically review the ways that artificial intelligence (AI) and machine learning (ML), including deep learning (DL), methodologies can inform patient care d...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa369

    authors: Davidson L,Boland MR

    更新日期:2021-01-06 00:00:00

  • Understanding the unimodal distributions of cancer occurrence rates: it takes two factors for a cancer to occur.

    abstract::Data from the SEER reports reveal that the occurrence rate of a cancer type generally follows a unimodal distribution over age, peaking at an age that is cancer-type specific and ranges from 30+ through 70+. Previous studies attribute such bell-shaped distributions to the reduced proliferative potential in senior year...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa349

    authors: Qiu S,An Z,Tan R,He PA,Jing J,Li H,Wu S,Xu Y

    更新日期:2020-12-30 00:00:00

  • Dynamics of transcriptional and post-transcriptional regulation.

    abstract::Despite gene expression programs being notoriously complex, RNA abundance is usually assumed as a proxy for transcriptional activity. Recently developed approaches, able to disentangle transcriptional and post-transcriptional regulatory processes, have revealed a more complex scenario. It is now possible to work out h...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa389

    authors: Furlan M,de Pretis S,Pelizzola M

    更新日期:2020-12-22 00:00:00

  • SARS-CoV-2 hot-spot mutations are significantly enriched within inverted repeats and CpG island loci.

    abstract::SARS-CoV-2 is an intensively investigated virus from the order Nidovirales (Coronaviridae family) that causes COVID-19 disease in humans. Through enormous scientific effort, thousands of viral strains have been sequenced to date, thereby creating a strong background for deep bioinformatics studies of the SARS-CoV-2 ge...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa385

    authors: Goswami P,Bartas M,Lexa M,Bohálová N,Volná A,Červeň J,Červeňová V,Pečinka P,Špunda V,Fojta M,Brázda V

    更新日期:2020-12-21 00:00:00

  • Computational methods for annotation of plant regulatory non-coding RNAs using RNA-seq.

    abstract::Plant transcriptome encompasses numerous endogenous, regulatory non-coding RNAs (ncRNAs) that play a major biological role in regulating key physiological mechanisms. While studies have shown that ncRNAs are extremely diverse and ubiquitous, the functions of the vast majority of ncRNAs are still unknown. With ever-inc...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa322

    authors: Vivek AT,Kumar S

    更新日期:2020-12-18 00:00:00

  • CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms.

    abstract::CyanoPATH is a database that curates and analyzes the common genomic functional repertoire for cyanobacteria harmful algal blooms (CyanoHABs) in eutrophic waters. Based on the literature of empirical studies and genome/protein databases, it summarizes four types of information: common biological functions (pathways) d...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa375

    authors: Du W,Li G,Ho N,Jenkins L,Hockaday D,Tan J,Cao H

    更新日期:2020-12-16 00:00:00

  • Deep learning for brain disorders: from data processing to disease treatment.

    abstract::In order to reach precision medicine and improve patients' quality of life, machine learning is increasingly used in medicine. Brain disorders are often complex and heterogeneous, and several modalities such as demographic, clinical, imaging, genetics and environmental data have been studied to improve their understan...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa310

    authors: Burgos N,Bottani S,Faouzi J,Thibeau-Sutre E,Colliot O

    更新日期:2020-12-15 00:00:00

  • LiBis: an ultrasensitive alignment augmentation for low-input bisulfite sequencing.

    abstract::The cell-free DNA (cfDNA) methylation profile in liquid biopsy has been utilized to diagnose early-stage disease and estimate therapy response. However, typical clinical procedures are capable of purifying only very small amounts of cfDNA. Whole-genome bisulfite sequencing (WGBS) is the gold standard for measuring DNA...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa332

    authors: Yin Y,Li J,Li J,Lee M,Zhao S,Guo L,Li J,Zhang M,Huang Y,Li XN,Deng Z,Sun D

    更新日期:2020-12-15 00:00:00

  • Identification and comprehensive characterization of lncRNAs with copy number variations and their driving transcriptional perturbed subpathways reveal functional significance for cancer.

    abstract::Numerous studies have shown that copy number variation (CNV) in lncRNA regions play critical roles in the initiation and progression of cancer. However, our knowledge about their functionalities is still limited. Here, we firstly provided a computational method to identify lncRNAs with copy number variation (lncRNAs-C...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz113

    authors: Xu Y,Wu T,Li F,Dong Q,Wang J,Shang D,Xu Y,Zhang C,Dou Y,Hu C,Yang H,Zheng X,Zhang Y,Wang L,Li X

    更新日期:2020-12-01 00:00:00

  • Methods and resources to access mutation-dependent effects on cancer drug treatment.

    abstract::In clinical cancer treatment, genomic alterations would often affect the response of patients to anticancer drugs. Studies have shown that molecular features of tumors could be biomarkers predictive of sensitivity or resistance to anticancer agents, but the identification of actionable mutations are often constrained ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz109

    authors: Yao H,Liang Q,Qian X,Wang J,Sham PC,Li MJ

    更新日期:2020-12-01 00:00:00

  • Drug response in association with pharmacogenomics and pharmacomicrobiomics: towards a better personalized medicine.

    abstract::Researchers have long been presented with the challenge imposed by the role of genetic heterogeneity in drug response. For many years, Pharmacogenomics and pharmacomicrobiomics has been investigating the influence of an individual's genetic background to drug response and disposition. More recently, the human gut micr...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa292

    authors: Hassan R,Allali I,Agamah FE,Elsheikh SSM,Thomford NE,Dandara C,Chimusa ER

    更新日期:2020-12-01 00:00:00

  • LARMD: integration of bioinformatic resources to profile ligand-driven protein dynamics with a case on the activation of estrogen receptor.

    abstract::Protein dynamics is central to all biological processes, including signal transduction, cellular regulation and biological catalysis. Among them, in-depth exploration of ligand-driven protein dynamics contributes to an optimal understanding of protein function, which is particularly relevant to drug discovery. Hence, ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz141

    authors: Yang JF,Wang F,Chen YZ,Hao GF,Yang GF

    更新日期:2020-12-01 00:00:00

  • Towards scaling elementary flux mode computation.

    abstract::While elementary flux mode (EFM) analysis is now recognized as a cornerstone computational technique for cellular pathway analysis and engineering, EFM application to genome-scale models remains computationally prohibitive. This article provides a review of aspects of EFM computation that elucidates bottlenecks in sca...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz094

    authors: Ullah E,Yosafshahi M,Hassoun S

    更新日期:2020-12-01 00:00:00

  • Computational prediction of species-specific yeast DNA replication origin via iterative feature representation.

    abstract::Deoxyribonucleic acid replication is one of the most crucial tasks taking place in the cell, and it has to be precisely regulated. This process is initiated in the replication origins (ORIs), and thus it is essential to identify such sites for a deeper understanding of the cellular processes and functions related to t...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa304

    authors: Manavalan B,Basith S,Shin TH,Lee G

    更新日期:2020-11-25 00:00:00

  • Are dropout imputation methods for scRNA-seq effective for scHi-C data?

    abstract::The prevalence of dropout events is a serious problem for single-cell Hi-C (scHiC) data due to insufficient sequencing depth and data coverage, which brings difficulties in downstream studies such as clustering and structural analysis. Complicating things further is the fact that dropouts are confounded with structura...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa289

    authors: Han C,Xie Q,Lin S

    更新日期:2020-11-17 00:00:00

  • Bioinformatic analysis of SMN1-ACE/ACE2 interactions hinted at a potential protective effect of spinal muscular atrophy against COVID-19-induced lung injury.

    abstract::Patients with spinal muscular atrophy (SMA) are susceptible to the respiratory infections and might be at a heightened risk of poor clinical outcomes upon contracting coronavirus disease 2019 (COVID-19). In the face of the COVID-19 pandemic, the potential associations of SMA with the susceptibility to and prognosticat...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa285

    authors: Li Z,Li X,Shen J,Tan H,Rong T,Lin Y,Feng E,Chen Z,Jiao Y,Liu G,Zhang L,Vai Chan MT,Kei Wu WK

    更新日期:2020-11-14 00:00:00

  • TrimNet: learning molecular representation from triplet messages for biomedicine.

    abstract:MOTIVATION:Computational methods accelerate drug discovery and play an important role in biomedicine, such as molecular property prediction and compound-protein interaction (CPI) identification. A key challenge is to learn useful molecular representation. In the early years, molecular properties are mainly calculated b...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa266

    authors: Li P,Li Y,Hsieh CY,Zhang S,Liu X,Liu H,Song S,Yao X

    更新日期:2020-11-04 00:00:00

  • Cloud 3D-QSAR: a web tool for the development of quantitative structure-activity relationship models in drug discovery.

    abstract::Effective drug discovery contributes to the treatment of numerous diseases but is limited by high costs and long cycles. The Quantitative Structure-Activity Relationship (QSAR) method was introduced to evaluate the activity of a large number of compounds virtually, reducing the time and labor costs required for chemic...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa276

    authors: Wang YL,Wang F,Shi XX,Jia CY,Wu FX,Hao GF,Yang GF

    更新日期:2020-11-03 00:00:00

  • MloDisDB: a manually curated database of the relations between membraneless organelles and diseases.

    abstract::Cells are compartmentalized by numerous membrane-bounded organelles and membraneless organelles (MLOs) to ensure temporal and spatial regulation of various biological processes. A number of MLOs, such as nucleoli, nuclear speckles and stress granules, exist as liquid droplets within the cells and arise from the conden...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa271

    authors: Hou C,Xie H,Fu Y,Ma Y,Li T

    更新日期:2020-10-30 00:00:00

  • InstaDock: A single-click graphical user interface for molecular docking-based virtual high-throughput screening.

    abstract::Exploring protein-ligand interactions is a subject of immense interest, as it provides deeper insights into molecular recognition, mechanism of interaction and subsequent functions. Predicting an accurate model for a protein-ligand interaction is a challenging task. Molecular docking is a computational method used for...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa279

    authors: Mohammad T,Mathur Y,Hassan MI

    更新日期:2020-10-26 00:00:00

  • Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches.

    abstract:MOTIVATION:The functional changes of the genes, RNAs and proteins will eventually be reflected in the metabolic level. Increasing number of researchers have researched mechanism, biomarkers and targeted drugs by metabolites. However, compared with our knowledge about genes, RNAs, and proteins, we still know few about d...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa212

    authors: Zhao T,Hu Y,Cheng L

    更新日期:2020-10-13 00:00:00

  • Capacity building for whole genome sequencing of Mycobacterium tuberculosis and bioinformatics in high TB burden countries.

    abstract:BACKGROUND:Whole genome sequencing (WGS) is increasingly used for Mycobacterium tuberculosis (Mtb) research. Countries with the highest tuberculosis (TB) burden face important challenges to integrate WGS into surveillance and research. METHODS:We assessed the global status of Mtb WGS and developed a 3-week training co...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa246

    authors: Rivière E,Heupink TH,Ismail N,Dippenaar A,Clarke C,Abebe G,Heusden P,Warren R,Meehan CJ,Van Rie A

    更新日期:2020-10-03 00:00:00

  • Gene set analysis methods for the functional interpretation of non-mRNA data-Genomic range and ncRNA data.

    abstract::Gene set analysis (GSA) is one of the methods of choice for analyzing the results of current omics studies; however, it has been mainly developed to analyze mRNA (microarray, RNA-Seq) data. The following review includes an update regarding general methods and resources for GSA and then emphasizes GSA methods and tools...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz090

    authors: Mora A

    更新日期:2020-09-25 00:00:00

  • AlzRiskMR database: an online database for the impact of exposure factors on Alzheimer's disease.

    abstract::In view of great difficulties in the pathogenesis analysis of Alzheimer's disease (AD) presently, profiling the modifiable risk factors is crucial for early detection and intervention of AD. However, the causal associations among them have yet to be identified, and the effective integration and application of these da...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa213

    authors: Wang Z,Meng L,Liu H,Shen L,Ji HF

    更新日期:2020-09-21 00:00:00

  • Extended application of genomic selection to screen multiomics data for prognostic signatures of prostate cancer.

    abstract::Prognostic tests using expression profiles of several dozen genes help provide treatment choices for prostate cancer (PCa). However, these tests require improvement to meet the clinical need for resolving overtreatment, which continues to be a pervasive problem in PCa management. Genomic selection (GS) methodology, wh...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa197

    authors: Li R,Wang S,Cui Y,Qu H,Chater JM,Zhang L,Wei J,Wang M,Xu Y,Yu L,Lu J,Feng Y,Zhou R,Huang Y,Ma R,Zhu J,Zhong W,Jia Z

    更新日期:2020-09-08 00:00:00

  • Proteome-scale analysis of phase-separated proteins in immunofluorescence images.

    abstract::Phase separation is an important mechanism that mediates the spatial distribution of proteins in different cellular compartments. While phase-separated proteins share certain sequence characteristics, including intrinsically disordered regions (IDRs) and prion-like domains, such characteristics are insufficient for ma...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa187

    authors: Yu C,Shen B,You K,Huang Q,Shi M,Wu C,Chen Y,Zhang C,Li T

    更新日期:2020-09-02 00:00:00

  • The microRNA target site landscape is a novel molecular feature associating alternative polyadenylation with immune evasion activity in breast cancer.

    abstract::Alternative polyadenylation (APA) in breast tumor samples results in the removal/addition of cis-regulatory elements such as microRNA (miRNA) target sites in the 3'-untranslated region (3'-UTRs) of genes. Although previous computational APA studies focused on a subset of genes strongly affected by APA (APA genes), we ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa191

    authors: Kim S,Bai Y,Fan Z,Diergaarde B,Tseng GC,Park HJ

    更新日期:2020-08-26 00:00:00

  • DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic charges.

    abstract::Atomic charges play a very important role in drug-target recognition. However, computation of atomic charges with high-level quantum mechanics (QM) calculations is very time-consuming. A number of machine learning (ML)-based atomic charge prediction methods have been proposed to speed up the calculation of high-accura...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa183

    authors: Wang J,Cao D,Tang C,Xu L,He Q,Yang B,Chen X,Sun H,Hou T

    更新日期:2020-08-25 00:00:00

  • Vertical integration methods for gene expression data analysis.

    abstract::Gene expression data have played an essential role in many biomedical studies. When the number of genes is large and sample size is limited, there is a 'lack of information' problem, leading to low-quality findings. To tackle this problem, both horizontal and vertical data integrations have been developed, where verti...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa169

    authors: Wu M,Yi H,Ma S

    更新日期:2020-08-14 00:00:00

  • SurvivalMeth: a web server to investigate the effect of DNA methylation-related functional elements on prognosis.

    abstract::Aberrant DNA methylation is a fundamental characterization of epigenetics for carcinogenesis. Abnormality of DNA methylation-related functional elements (DMFEs) may lead to dysfunction of regulatory genes in the progression of cancers, contributing to prognosis of many cancers. There is an urgent need to construct a t...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa162

    authors: Zhang C,Zhao N,Zhang X,Xiao J,Li J,Lv D,Zhou W,Li Y,Xu J,Li X

    更新日期:2020-08-11 00:00:00

  • Current development of integrated web servers for preclinical safety and pharmacokinetics assessments in drug development.

    abstract::In drug development, preclinical safety and pharmacokinetics assessments of candidate drugs to ensure the safety profile are a must. While in vivo and in vitro tests are traditionally used, experimental determinations have disadvantages, as they are usually time-consuming and costly. In silico predictions of these pre...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa160

    authors: Hsiao Y,Su BH,Tseng YJ

    更新日期:2020-08-07 00:00:00

  • Irinotecan and vandetanib create synergies for treatment of pancreatic cancer patients with concomitant TP53 and KRAS mutations.

    abstract:BACKGROUND:The most frequently mutated gene pairs in pancreatic adenocarcinoma (PAAD) are KRAS and TP53, and our goal is to illustrate the multiomics and molecular dynamics landscapes of KRAS/TP53 mutation and also to obtain prospective novel drugs for KRAS- and TP53-mutated PAAD patients. Moreover, we also made an att...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa149

    authors: Kaushik AC,Wang YJ,Wang X,Wei DQ

    更新日期:2020-07-31 00:00:00

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