Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data
出版年份 2020 全文链接
标题
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data
作者
关键词
-
出版物
BMC BIOINFORMATICS
Volume 21, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-03-20
DOI
10.1186/s12859-020-3427-8
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
- (2018) Jianfang Liu et al. CELL
- Opportunities and obstacles for deep learning in biology and medicine
- (2018) Travers Ching et al. Journal of the Royal Society Interface
- Improving the value of public RNA-seq expression data by phenotype prediction
- (2018) Shannon E Ellis et al. NUCLEIC ACIDS RESEARCH
- Massive mining of publicly available RNA-seq data from human and mouse
- (2018) Alexander Lachmann et al. Nature Communications
- Robust phenotype prediction from gene expression data using differential shrinkage of co-regulated genes
- (2018) Kourosh Zarringhalam et al. Scientific Reports
- Deep generative modeling for single-cell transcriptomics
- (2018) Romain Lopez et al. NATURE METHODS
- Reproducible RNA-seq analysis using recount2
- (2017) Leonardo Collado-Torres et al. NATURE BIOTECHNOLOGY
- The Reactome Pathway Knowledgebase
- (2017) Antonio Fabregat et al. NUCLEIC ACIDS RESEARCH
- Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulation
- (2016) Mehmet Gönen BMC BIOINFORMATICS
- Association Between Response to Etrolizumab and Expression of Integrin αE and Granzyme A in Colon Biopsies of Patients With Ulcerative Colitis
- (2016) Gaik W. Tew et al. GASTROENTEROLOGY
- Applications of Deep Learning in Biomedicine
- (2016) Polina Mamoshina et al. MOLECULAR PHARMACEUTICS
- In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development
- (2016) Ivan V. Ozerov et al. Nature Communications
- MicroRNAs Classify Different Disease Behavior Phenotypes of Crohnʼs Disease and May Have Prognostic Utility
- (2015) Bailey C. E. Peck et al. INFLAMMATORY BOWEL DISEASES
- RNA sequencing atopic dermatitis transcriptome profiling provides insights into novel disease mechanisms with potential therapeutic implications
- (2015) Mayte Suárez-Fariñas et al. JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY
- Proteogenomic analysis of psoriasis reveals discordant and concordant changes in mRNA and protein abundance
- (2015) William R. Swindell et al. Genome Medicine
- Proportionality: A Valid Alternative to Correlation for Relative Data
- (2015) David Lovell et al. PLoS Computational Biology
- Robust clinical outcome prediction based on Bayesian analysis of transcriptional profiles and prior causal networks
- (2014) Kourosh Zarringhalam et al. BIOINFORMATICS
- Activation of the Aryl Hydrocarbon Receptor Dampens the Severity of Inflammatory Skin Conditions
- (2014) Paola Di Meglio et al. IMMUNITY
- Detecting and correcting systematic variation in large-scale RNA sequencing data
- (2014) Sheng Li et al. NATURE BIOTECHNOLOGY
- Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism
- (2014) J. Fadista et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis
- (2014) Andrew D Fernandes et al. Microbiome
- CellMix: a comprehensive toolbox for gene expression deconvolution
- (2013) R. Gaujoux et al. BIOINFORMATICS
- Causal analysis approaches in Ingenuity Pathway Analysis
- (2013) Andreas Krämer et al. BIOINFORMATICS
- TFcheckpoint: a curated compendium of specific DNA-binding RNA polymerase II transcription factors
- (2013) Konika Chawla et al. BIOINFORMATICS
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories
- (2013) Peter A C 't Hoen et al. NATURE BIOTECHNOLOGY
- The Genotype-Tissue Expression (GTEx) project
- (2013) John Lonsdale et al. NATURE GENETICS
- NCBI GEO: archive for functional genomics data sets—update
- (2012) Tanya Barrett et al. NUCLEIC ACIDS RESEARCH
- Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples
- (2012) Günter P. Wagner et al. THEORY IN BIOSCIENCES
- ReCount: A multi-experiment resource of analysis-ready RNA-seq gene count datasets
- (2011) Alyssa C Frazee et al. BMC BIOINFORMATICS
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
- (2011) Bo Li et al. BMC BIOINFORMATICS
- Gene expression deconvolution in clinical samples
- (2011) Yingdong Zhao et al. Genome Medicine
- Cell type–specific gene expression differences in complex tissues
- (2010) Shai S Shen-Orr et al. NATURE METHODS
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