A semi-parametric statistical model for integrating gene expression profiles across different platforms.

Abstract:

BACKGROUND:Determining differentially expressed genes (DEGs) between biological samples is the key to understand how genotype gives rise to phenotype. RNA-seq and microarray are two main technologies for profiling gene expression levels. However, considerable discrepancy has been found between DEGs detected using the two technologies. Integration data across these two platforms has the potential to improve the power and reliability of DEG detection. METHODS:We propose a rank-based semi-parametric model to determine DEGs using information across different sources and apply it to the integration of RNA-seq and microarray data. By incorporating both the significance of differential expression and the consistency across platforms, our method effectively detects DEGs with moderate but consistent signals. We demonstrate the effectiveness of our method using simulation studies, MAQC/SEQC data and a synthetic microRNA dataset. CONCLUSIONS:Our integration method is not only robust to noise and heterogeneity in the data, but also adaptive to the structure of data. In our simulations and real data studies, our approach shows a higher discriminate power and identifies more biologically relevant DEGs than eBayes, DEseq and some commonly used meta-analysis methods.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Lyu Y,Li Q

doi

10.1186/s12859-015-0847-y

subject

Has Abstract

pub_date

2016-01-11 00:00:00

pages

5

issn

1471-2105

pii

10.1186/s12859-015-0847-y

journal_volume

17 Suppl 1

pub_type

杂志文章
  • A benchmark study of sequence alignment methods for protein clustering.

    abstract:BACKGROUND:Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment. Former benchmark studies revealed drawbacks of MSA methods on nucleo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2524-4

    authors: Wang Y,Wu H,Cai Y

    更新日期:2018-12-31 00:00:00

  • Correction to: Similarities and differences between variants called with human reference genome HG19 or HG38.

    abstract::After publication of this supplement article. ...

    journal_title:BMC bioinformatics

    pub_type: 已发布勘误

    doi:10.1186/s12859-019-2776-7

    authors: Pan B,Kusko R,Xiao W,Zheng Y,Liu Z,Xiao C,Sakkiah S,Guo W,Gong P,Zhang C,Ge W,Shi L,Tong W,Hong H

    更新日期:2019-05-15 00:00:00

  • Accelerated large-scale multiple sequence alignment.

    abstract:BACKGROUND:Multiple sequence alignment (MSA) is a fundamental analysis method used in bioinformatics and many comparative genomic applications. Prior MSA acceleration attempts with reconfigurable computing have only addressed the first stage of progressive alignment and consequently exhibit performance limitations acco...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-466

    authors: Lloyd S,Snell QO

    更新日期:2011-12-07 00:00:00

  • ProCKSI: a decision support system for Protein (structure) Comparison, Knowledge, Similarity and Information.

    abstract:BACKGROUND:We introduce the decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information (ProCKSI). ProCKSI integrates various protein similarity measures through an easy to use interface that allows the comparison of multiple proteins simultaneously. It employs the Universal Simila...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-416

    authors: Barthel D,Hirst JD,Błazewicz J,Burke EK,Krasnogor N

    更新日期:2007-10-26 00:00:00

  • PseUI: Pseudouridine sites identification based on RNA sequence information.

    abstract:BACKGROUND:Pseudouridylation is the most prevalent type of posttranscriptional modification in various stable RNAs of all organisms, which significantly affects many cellular processes that are regulated by RNA. Thus, accurate identification of pseudouridine (Ψ) sites in RNA will be of great benefit for understanding t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2321-0

    authors: He J,Fang T,Zhang Z,Huang B,Zhu X,Xiong Y

    更新日期:2018-08-29 00:00:00

  • Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

    abstract:BACKGROUND:The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet, the goal of developing actionable, robust, and reproducible predictive signatures of phenotypes such as clinical outcome has not been attained in almost any disease area. Here, w...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3427-8

    authors: Smith AM,Walsh JR,Long J,Davis CB,Henstock P,Hodge MR,Maciejewski M,Mu XJ,Ra S,Zhao S,Ziemek D,Fisher CK

    更新日期:2020-03-20 00:00:00

  • Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma.

    abstract:BACKGROUND:Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. In order to understand the molecular basis of lung adenocarcinoma, integrative analysis have been performed by using genomics, transcriptomics, epigenomics, proteomics an...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03691-3

    authors: Zengin T,Önal-Süzek T

    更新日期:2020-09-30 00:00:00

  • Reranking candidate gene models with cross-species comparison for improved gene prediction.

    abstract:BACKGROUND:Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-433

    authors: Liu Q,Crammer K,Pereira FC,Roos DS

    更新日期:2008-10-14 00:00:00

  • Repliscan: a tool for classifying replication timing regions.

    abstract:BACKGROUND:Replication timing experiments that use label incorporation and high throughput sequencing produce peaked data similar to ChIP-Seq experiments. However, the differences in experimental design, coverage density, and possible results make traditional ChIP-Seq analysis methods inappropriate for use with replica...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1774-x

    authors: Zynda GJ,Song J,Concia L,Wear EE,Hanley-Bowdoin L,Thompson WF,Vaughn MW

    更新日期:2017-08-07 00:00:00

  • iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes.

    abstract:BACKGROUND:A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants and genes that confer susceptibility to mental diseases in personal gen...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2469-7

    authors: Khan A,Liu Q,Wang K

    更新日期:2018-12-28 00:00:00

  • MRCQuant- an accurate LC-MS relative isotopic quantification algorithm on TOF instruments.

    abstract:BACKGROUND:Relative isotope abundance quantification, which can be used for peptide identification and differential peptide quantification, plays an important role in liquid chromatography-mass spectrometry (LC-MS)-based proteomics. However, several major issues exist in the relative isotopic quantification of peptides...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-74

    authors: Haskins WE,Petritis K,Zhang J

    更新日期:2011-03-15 00:00:00

  • mSpecs: a software tool for the administration and editing of mass spectral libraries in the field of metabolomics.

    abstract:BACKGROUND:Metabolome analysis with GC/MS has meanwhile been established as one of the "omics" techniques. Compound identification is done by comparison of the MS data with compound libraries. Mass spectral libraries in the field of metabolomics ought to connect the relevant mass traces of the metabolites to other rele...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-229

    authors: Thielen B,Heinen S,Schomburg D

    更新日期:2009-07-22 00:00:00

  • DLAD4U: deriving and prioritizing disease lists from PubMed literature.

    abstract:BACKGROUND:Due to recent technology advancements, disease related knowledge is growing rapidly. It becomes nontrivial to go through all published literature to identify associations between human diseases and genetic, environmental, and life style factors, disease symptoms, and treatment strategies. Here we report DLAD...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2463-0

    authors: Shen J,Vasaikar S,Zhang B

    更新日期:2018-12-28 00:00:00

  • Finding sRNA generative locales from high-throughput sequencing data with NiBLS.

    abstract:BACKGROUND:Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the sequencing of small non-coding regulatory RNAs and the identification of the genomic locales from which they originate. Currently, there is a pauci...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-93

    authors: MacLean D,Moulton V,Studholme DJ

    更新日期:2010-02-18 00:00:00

  • SpectralNET--an application for spectral graph analysis and visualization.

    abstract:BACKGROUND:Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks of genes, proteins, small molecules, or other objects of study can be represented as graphs of nodes (vertices) and interactions (edges) that ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-260

    authors: Forman JJ,Clemons PA,Schreiber SL,Haggarty SJ

    更新日期:2005-10-19 00:00:00

  • A De-Novo Genome Analysis Pipeline (DeNoGAP) for large-scale comparative prokaryotic genomics studies.

    abstract:BACKGROUND:Comparative analysis of whole genome sequence data from closely related prokaryotic species or strains is becoming an increasingly important and accessible approach for addressing both fundamental and applied biological questions. While there are number of excellent tools developed for performing this task, ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1142-2

    authors: Thakur S,Guttman DS

    更新日期:2016-06-30 00:00:00

  • Combining evidence, biomedical literature and statistical dependence: new insights for functional annotation of gene sets.

    abstract:BACKGROUND:Large-scale genomic studies based on transcriptome technologies provide clusters of genes that need to be functionally annotated. The Gene Ontology (GO) implements a controlled vocabulary organised into three hierarchies: cellular components, molecular functions and biological processes. This terminology all...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-241

    authors: Aubry M,Monnier A,Chicault C,de Tayrac M,Galibert MD,Burgun A,Mosser J

    更新日期:2006-05-04 00:00:00

  • Quantitative prediction of the effect of genetic variation using hidden Markov models.

    abstract:BACKGROUND:With the development of sequencing technologies, more and more sequence variants are available for investigation. Different classes of variants in the human genome have been identified, including single nucleotide substitutions, insertion and deletion, and large structural variations such as duplications and...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-5

    authors: Liu M,Watson LT,Zhang L

    更新日期:2014-01-09 00:00:00

  • CNN-based ranking for biomedical entity normalization.

    abstract:BACKGROUND:Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel convolutional neural network (CNN) architecture that regards biomedical e...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1805-7

    authors: Li H,Chen Q,Tang B,Wang X,Xu H,Wang B,Huang D

    更新日期:2017-10-03 00:00:00

  • CoryneRegNet 4.0 - A reference database for corynebacterial gene regulatory networks.

    abstract:BACKGROUND:Detailed information on DNA-binding transcription factors (the key players in the regulation of gene expression) and on transcriptional regulatory interactions of microorganisms deduced from literature-derived knowledge, computer predictions and global DNA microarray hybridization experiments, has opened the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-429

    authors: Baumbach J

    更新日期:2007-11-06 00:00:00

  • Classification of viral zoonosis through receptor pattern analysis.

    abstract:BACKGROUND:Viral zoonosis, the transmission of a virus from its primary vertebrate reservoir species to humans, requires ubiquitous cellular proteins known as receptor proteins. Zoonosis can occur not only through direct transmission from vertebrates to humans, but also through intermediate reservoirs or other environm...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-96

    authors: Bae SE,Son HS

    更新日期:2011-04-13 00:00:00

  • PhylDiag: identifying complex synteny blocks that include tandem duplications using phylogenetic gene trees.

    abstract:BACKGROUND:Extant genomes share regions where genes have the same order and orientation, which are thought to arise from the conservation of an ancestral order of genes during evolution. Such regions of so-called conserved synteny, or synteny blocks, must be precisely identified and quantified, as a prerequisite to bet...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-268

    authors: Lucas JM,Muffato M,Roest Crollius H

    更新日期:2014-08-08 00:00:00

  • SamSelect: a sample sequence selection algorithm for quorum planted motif search on large DNA datasets.

    abstract:BACKGROUND:Given a set of t n-length DNA sequences, q satisfying 0 < q ≤ 1, and l and d satisfying 0 ≤ d < l < n, the quorum planted motif search (qPMS) finds l-length strings that occur in at least qt input sequences with up to d mismatches and is mainly used to locate transcription factor binding sites in DNA sequenc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2242-y

    authors: Yu Q,Wei D,Huo H

    更新日期:2018-06-18 00:00:00

  • REW-ISA: unveiling local functional blocks in epi-transcriptome profiling data via an RNA expression-weighted iterative signature algorithm.

    abstract:BACKGROUND:Recent studies have shown that N6-methyladenosine (m6A) plays a critical role in numbers of biological processes and complex human diseases. However, the regulatory mechanisms of most methylation sites remain uncharted. Thus, in-depth study of the epi-transcriptomic patterns of m6A may provide insights into ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03787-w

    authors: Zhang L,Chen S,Zhu J,Meng J,Liu H

    更新日期:2020-10-09 00:00:00

  • AntiBP2: improved version of antibacterial peptide prediction.

    abstract:BACKGROUND:Antibacterial peptides are one of the effecter molecules of innate immune system. Over the last few decades several antibacterial peptides have successfully approved as drug by FDA, which has prompted an interest in these antibacterial peptides. In our recent study we analyzed 999 antibacterial peptides, whi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S1-S19

    authors: Lata S,Mishra NK,Raghava GP

    更新日期:2010-01-18 00:00:00

  • Systematic exploration of guide-tree topology effects for small protein alignments.

    abstract:BACKGROUND:Guide-trees are used as part of an essential heuristic to enable the calculation of multiple sequence alignments. They have been the focus of much method development but there has been little effort at determining systematically, which guide-trees, if any, give the best alignments. Some guide-tree constructi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-338

    authors: Sievers F,Hughes GM,Higgins DG

    更新日期:2014-10-04 00:00:00

  • Pushing the accuracy limit of shape complementarity for protein-protein docking.

    abstract:BACKGROUND:Protein-protein docking is a valuable computational approach for investigating protein-protein interactions. Shape complementarity is the most basic component of a scoring function and plays an important role in protein-protein docking. Despite significant progresses, shape representation remains an open que...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3270-y

    authors: Yan Y,Huang SY

    更新日期:2019-12-24 00:00:00

  • HapSolo: an optimization approach for removing secondary haplotigs during diploid genome assembly and scaffolding.

    abstract:BACKGROUND:Despite marked recent improvements in long-read sequencing technology, the assembly of diploid genomes remains a difficult task. A major obstacle is distinguishing between alternative contigs that represent highly heterozygous regions. If primary and secondary contigs are not properly identified, the primary...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03939-y

    authors: Solares EA,Tao Y,Long AD,Gaut BS

    更新日期:2021-01-06 00:00:00

  • scDC: single cell differential composition analysis.

    abstract:BACKGROUND:Differences in cell-type composition across subjects and conditions often carry biological significance. Recent advancements in single cell sequencing technologies enable cell-types to be identified at the single cell level, and as a result, cell-type composition of tissues can now be studied in exquisite de...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3211-9

    authors: Cao Y,Lin Y,Ormerod JT,Yang P,Yang JYH,Lo KK

    更新日期:2019-12-24 00:00:00

  • Modeling genomic data with type attributes, balancing stability and maintainability.

    abstract:BACKGROUND:Molecular biology (MB) is a dynamic research domain that benefits greatly from the use of modern software technology in preparing experiments, analyzing acquired data, and even performing "in-silico" analyses. As ever new findings change the face of this domain, software for MB has to be sufficiently flexibl...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-97

    authors: Busch N,Wedemann G

    更新日期:2009-03-27 00:00:00