A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression

Claussnitzer M(2020)A brief history of human disease genetics Nature 577 179-189

Cho JH(2021)Modeling transcriptional regulation using gene regulatory networks based on multi-omics data sources BMC Bioinform 22 200-516

Collins R(2021)Factor graph-aggregated heterogeneous network embedding for disease-gene association prediction BMC Bioinform 22 165-404

Cox NJ(2021)Large-scale labeling and assessment of sex bias in publicly available expression data BMC Bioinform 22 168-3123

Dermitzakis ET(2020)Predicting viral exposure response from modeling the changes of co-expression networks using time series gene expression data BMC Bioinform 21 370-413

Hurles ME(2019)The landscape of selection in 551 esophageal adenocarcinomas defines genomic biomarkers for the clinic Nat Genet 51 506-34

Patel N(2019)Decision tree underfitting in mining of gene expression data. An evolutionary multi-test tree approach Expert Syst Appl 137 392-90

Bush WS(2020)scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment Bioinformatics 36 3115-193

He M(2020)Towards improving skin cancer diagnosis by integrating microarray and RNA-seq datasets IEEE J Biomed Health Inform 24 1-490

Huang C(2019)Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk Nat Genet 51 404-242

Claussnitzer M(2020)A brief history of human disease genetics Nature 577 179-189

Cho JH(2021)Modeling transcriptional regulation using gene regulatory networks based on multi-omics data sources BMC Bioinform 22 200-516

Collins R(2021)Factor graph-aggregated heterogeneous network embedding for disease-gene association prediction BMC Bioinform 22 165-404

Cox NJ(2021)Large-scale labeling and assessment of sex bias in publicly available expression data BMC Bioinform 22 168-3123

Dermitzakis ET(2020)Predicting viral exposure response from modeling the changes of co-expression networks using time series gene expression data BMC Bioinform 21 370-413

Hurles ME(2019)The landscape of selection in 551 esophageal adenocarcinomas defines genomic biomarkers for the clinic Nat Genet 51 506-34

Patel N(2019)Decision tree underfitting in mining of gene expression data. An evolutionary multi-test tree approach Expert Syst Appl 137 392-90

Bush WS(2020)scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment Bioinformatics 36 3115-193

He M(2020)Towards improving skin cancer diagnosis by integrating microarray and RNA-seq datasets IEEE J Biomed Health Inform 24 1-490

Huang C(2019)Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk Nat Genet 51 404-242