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 understanding. Deep learning, a subpart of machine learning, provides complex algorithms that can learn from such various data. It has become state of the art in numerous fields, including computer vision and natural language processing, and is also growingly applied in medicine. In this article, we review the use of deep learning for brain disorders. More specifically, we identify the main applications, the concerned disorders and the types of architectures and data used. Finally, we provide guidelines to bridge the gap between research studies and clinical routine.

journal_name

Brief Bioinform

authors

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

doi

10.1093/bib/bbaa310

subject

Has Abstract

pub_date

2020-12-15 00:00:00

eissn

1467-5463

issn

1477-4054

pii

6034041

pub_type

杂志文章
  • 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

  • Accounting for differential variability in detecting differentially methylated regions.

    abstract::DNA methylation plays an essential role in cancer. Differential variability (DV) in cancer was recently observed that contributes to cancer heterogeneity and has been shown to be crucial in detecting epigenetic field defects, DNA methylation alterations happening early in carcinogenesis. As neighboring CpG sites are h...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbx097

    authors: Wang Y,Teschendorff AE,Widschwendter M,Wang S

    更新日期:2019-01-18 00:00:00

  • Computational biology for cardiovascular biomarker discovery.

    abstract::Computational biology is essential in the process of translating biological knowledge into clinical practice, as well as in the understanding of biological phenomena based on the resources and technologies originating from the clinical environment. One such key contribution of computational biology is the discovery of...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbp008

    authors: Azuaje F,Devaux Y,Wagner D

    更新日期:2009-07-01 00:00:00

  • Computational aspects of host-parasite phylogenies.

    abstract::Computational aspects of host-parasite phylogenies form part of a set of general associations between areas and organisms, hosts and parasites, and species and genes. The problem is not new and the commonalities of exploring vicariance biogeography (organisms tracking areas) and host-parasite co-speciation (parasites ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/5.4.339

    authors: Stevens J

    更新日期:2004-12-01 00:00:00

  • Discovery of G-quadruplex-forming sequences in SARS-CoV-2.

    abstract::The outbreak caused by the novel coronavirus SARS-CoV-2 has been declared a global health emergency. G-quadruplex structures in genomes have long been considered essential for regulating a number of biological processes in a plethora of organisms. We have analyzed and identified 25 four contiguous GG runs (G2NxG2NyG2N...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa114

    authors: Ji D,Juhas M,Tsang CM,Kwok CK,Li Y,Zhang Y

    更新日期:2020-06-01 00:00:00

  • Architecture for interoperable software in biology.

    abstract::Understanding biological complexity demands a combination of high-throughput data and interdisciplinary skills. One way to bring to bear the necessary combination of data types and expertise is by encapsulating domain knowledge in software and composing that software to create a customized data analysis environment. T...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbs074

    authors: Bare JC,Baliga NS

    更新日期:2014-07-01 00:00:00

  • Docking of peptides to GPCRs using a combination of CABS-dock with FlexPepDock refinement.

    abstract::The structural description of peptide ligands bound to G protein-coupled receptors (GPCRs) is important for the discovery of new drugs and deeper understanding of the molecular mechanisms of life. Here we describe a three-stage protocol for the molecular docking of peptides to GPCRs using a set of different programs: ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa109

    authors: Badaczewska-Dawid AE,Kmiecik S,Koliński M

    更新日期:2020-06-10 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

  • Automated glycopeptide analysis--review of current state and future directions.

    abstract::Glycosylation of proteins is involved in immune defense, cell-cell adhesion, cellular recognition and pathogen binding and is one of the most common and complex post-translational modifications. Science is still struggling to assign detailed mechanisms and functions to this form of conjugation. Even the structural ana...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbs045

    authors: Dallas DC,Martin WF,Hua S,German JB

    更新日期:2013-05-01 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

  • Identifying drug-target interactions based on graph convolutional network and deep neural network.

    abstract::Identification of new drug-target interactions (DTIs) is an important but a time-consuming and costly step in drug discovery. In recent years, to mitigate these drawbacks, researchers have sought to identify DTIs using computational approaches. However, most existing methods construct drug networks and target networks...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa044

    authors: Zhao T,Hu Y,Valsdottir LR,Zang T,Peng J

    更新日期:2020-05-04 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

  • Unraveling chloroplast transcriptomes with ChloroSeq, an organelle RNA-Seq bioinformatics pipeline.

    abstract::Online sequence repositories are teeming with RNA sequencing (RNA-Seq) data from a wide range of eukaryotes. Although most of these data sets contain large numbers of organelle-derived reads, researchers tend to ignore these data, focusing instead on the nuclear-derived transcripts. Consequently, GenBank contains mass...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbw088

    authors: Smith DR,Sanitá Lima M

    更新日期:2017-11-01 00:00:00

  • Federating data with Information Integrator.

    abstract::Information Integrator is an extension to IBM's relational database DB2, which uses data federation to provide benefits to molecular biology researchers through two unique capabilities: increased flexibility in combining data from disparate sources, and SQL access to non-SQL data, easing the task of automating data an...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/4.4.375

    authors: Arenson AD

    更新日期:2003-12-01 00:00:00

  • Methodological aspects of whole-genome bisulfite sequencing analysis.

    abstract::The combination of DNA bisulfite treatment with high-throughput sequencing technologies has enabled investigation of genome-wide DNA methylation beyond CpG sites and CpG islands. These technologies have opened new avenues to understand the interplay between epigenetic events, chromatin plasticity and gene regulation. ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbu016

    authors: Adusumalli S,Mohd Omar MF,Soong R,Benoukraf T

    更新日期:2015-05-01 00:00:00

  • Bioinformatics approaches for genomics and post genomics applications of next-generation sequencing.

    abstract::Technical advances such as the development of molecular cloning, Sanger sequencing, PCR and oligonucleotide microarrays are key to our current capacity to sequence, annotate and study complete organismal genomes. Recent years have seen the development of a variety of so-called 'next-generation' sequencing platforms, w...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbp046

    authors: Horner DS,Pavesi G,Castrignanò T,De Meo PD,Liuni S,Sammeth M,Picardi E,Pesole G

    更新日期:2010-03-01 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

  • 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

  • TRCirc: a resource for transcriptional regulation information of circRNAs.

    abstract::In recent years, high-throughput genomic technologies like chromatin immunoprecipitation sequencing (ChIp-seq) and transcriptome sequencing (RNA-seq) have been becoming both more refined and less expensive, making them more accessible. Many circular RNAs (circRNAs) that originate from back-spliced exons have been iden...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bby083

    authors: Tang Z,Li X,Zhao J,Qian F,Feng C,Li Y,Zhang J,Jiang Y,Yang Y,Wang Q,Li C

    更新日期:2019-11-27 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

  • A brief history of bioinformatics.

    abstract::It is easy for today's students and researchers to believe that modern bioinformatics emerged recently to assist next-generation sequencing data analysis. However, the very beginnings of bioinformatics occurred more than 50 years ago, when desktop computers were still a hypothesis and DNA could not yet be sequenced. T...

    journal_title:Briefings in bioinformatics

    pub_type: 历史文章,杂志文章,评审

    doi:10.1093/bib/bby063

    authors: Gauthier J,Vincent AT,Charette SJ,Derome N

    更新日期:2019-11-27 00:00:00

  • Survey of miRNA-miRNA cooperative regulation principles across cancer types.

    abstract::Cooperative regulation among multiple microRNAs (miRNAs) is a complex type of posttranscriptional regulation in human; however, the global view of the system-level regulatory principles across cancers is still unclear. Here, we investigated miRNA-miRNA cooperative regulatory landscape across 18 cancer types and summar...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bby038

    authors: Shao T,Wang G,Chen H,Xie Y,Jin X,Bai J,Xu J,Li X,Huang J,Jin Y,Li Y

    更新日期:2019-09-27 00:00:00

  • Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants.

    abstract:MOTIVATION:Long noncoding RNAs (lncRNAs) correspond to a eukaryotic noncoding RNA class that gained great attention in the past years as a higher layer of regulation for gene expression in cells. There is, however, a lack of specific computational approaches to reliably predict lncRNA in plants, which contrast the vari...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bby034

    authors: Negri TDC,Alves WAL,Bugatti PH,Saito PTM,Domingues DS,Paschoal AR

    更新日期:2019-03-25 00:00:00

  • Comparison of software packages for detecting differential expression in RNA-seq studies.

    abstract::RNA-sequencing (RNA-seq) has rapidly become a popular tool to characterize transcriptomes. A fundamental research problem in many RNA-seq studies is the identification of reliable molecular markers that show differential expression between distinct sample groups. Together with the growing popularity of RNA-seq, a numb...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbt086

    authors: Seyednasrollah F,Laiho A,Elo LL

    更新日期:2015-01-01 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

  • BamView: visualizing and interpretation of next-generation sequencing read alignments.

    abstract:UNLABELLED:So-called next-generation sequencing (NGS) has provided the ability to sequence on a massive scale at low cost, enabling biologists to perform powerful experiments and gain insight into biological processes. BamView has been developed to visualize and analyse sequence reads from NGS platforms, which have bee...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbr073

    authors: Carver T,Harris SR,Otto TD,Berriman M,Parkhill J,McQuillan JA

    更新日期:2013-03-01 00:00:00

  • Systematic review of computational methods for identifying miRNA-mediated RNA-RNA crosstalk.

    abstract::Posttranscriptional crosstalk and communication between RNAs yield large regulatory competing endogenous RNA (ceRNA) networks via shared microRNAs (miRNAs), as well as miRNA synergistic networks. The ceRNA crosstalk represents a novel layer of gene regulation that controls both physiological and pathological processes...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbx137

    authors: Li Y,Jin X,Wang Z,Li L,Chen H,Lin X,Yi S,Zhang Y,Xu J

    更新日期:2019-07-19 00:00:00

  • Toward more realistic drug-target interaction predictions.

    abstract::A number of supervised machine learning models have recently been introduced for the prediction of drug-target interactions based on chemical structure and genomic sequence information. Although these models could offer improved means for many network pharmacology applications, such as repositioning of drugs for new t...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbu010

    authors: Pahikkala T,Airola A,Pietilä S,Shakyawar S,Szwajda A,Tang J,Aittokallio T

    更新日期:2015-03-01 00:00:00

  • Normalization and quantification of differential expression in gene expression microarrays.

    abstract::Array-based gene expression studies frequently serve to identify genes that are expressed differently under two or more conditions. The actual analysis of the data, however, may be hampered by a number of technical and statistical problems. Possible remedies on the level of computational analysis lie in appropriate pr...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbl002

    authors: Steinhoff C,Vingron M

    更新日期:2006-06-01 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