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Plos One|November 10, 2016
Improving Gene-Set Enrichment Analysis of RNA-Seq Data with Small ReplicatesSora Yoon, Seon-Young Kim, Dougu NamBMC Genomics|May 27, 2017
Gene dispersion is the key determinant of the read count bias in differential expression analysis of RNA-seq dataSora Yoon, Dougu NamBriefings in Bioinformatics|January 19, 2008
Gene-set approach for expression pattern analysisDougu Nam, Seon-Young KimPlos One|May 1, 2020
Benchmarking RNA-seq differential expression analysis methods using spike-in and simulation dataBukyung Baik, Sora Yoon, Dougu NamBioinformatics (Oxford, England)|February 22, 2020
netGO: R-Shiny package for network-integrated pathway enrichment analysisJinhwan Kim, Sora Yoon, Dougu NamBMC Genomics|May 11, 2019
GScluster: network-weighted gene-set clustering analysisSora Yoon, Jinhwan Kim, Seon-Kyu Kim, et al.Nucleic Acids Research|May 27, 2010
GSA-SNP: a general approach for gene set analysis of polymorphismsDougu Nam, Jin Kim, Seon-Young Kim, et al.Scientific Reports|March 27, 2021
Powerful p-value combination methods to detect incomplete associationSora Yoon, Bukyung Baik, Taesung Park, et al.Nucleic Acids Research|March 2, 2019
Biclustering analysis of transcriptome big data identifies condition-specific microRNA targetsSora Yoon, Hai C T Nguyen, Woobeen Jo, et al.Nucleic Acids Research|June 1, 2011
ADGO 2.0: interpreting microarray data and list of genes using composite annotationsSang-Mun Chi, Jin Kim, Seon-Young Kim, et al.Pageof 54