| “Upstream analysis”: an integrated promoter-pathway analysis approach to causal interpretation of microarray data J Koschmann, A Bhar, P Stegmaier, AE Kel, E Wingender Microarrays 4 (2), 270-286, 2015 | 84 | 2015 |
| Coexpression and coregulation analysis of time-series gene expression data in estrogen-induced breast cancer cell A Bhar, M Haubrock, A Mukhopadhyay, U Maulik, S Bandyopadhyay, ... Algorithms for molecular biology 8 (1), 9, 2013 | 60 | 2013 |
| Multiobjective triclustering of time-series transcriptome data reveals key genes of biological processes A Bhar, M Haubrock, A Mukhopadhyay, E Wingender BMC bioinformatics 16 (1), 200, 2015 | 35 | 2015 |
| δ-TRIMAX: Extracting Triclusters and Analysing Coregulation in Time Series Gene Expression Data. A Bhar, M Haubrock, A Mukhopadhyay, U Maulik, S Bandyopadhyay, ... WABI, 165-177, 2012 | 26 | 2012 |
| Application of a maximal-clique based community detection algorithm to gut microbiome data reveals driver microbes during influenza A virus infection A Bhar, LC Gierse, A Meene, H Wang, C Karte, T Schwaiger, C Schröder, ... Frontiers in Microbiology 13, 979320, 2022 | 10 | 2022 |
| Application of a novel Triclustering method (delta-TRIMAX) to mine 3D gene expression data of breast cancer cells A Bhar, M Haubrock, A Mukhopadhyay, E Wingender GCB 2013 Göttingen-Highlight Papers, 2013 | 2 | 2013 |
| Revealing Exclusive Usage Of T-BOX Family Paralogous Transcription Factors Through Identifying Diversity In Expression Profiles During hiPSC-Derived Cardiomyocytes Generation A Bhar, M Haubrock, E Wingender Regulatory Genomics Special Interest Group (RegGen SIG) Program July 20, 2013, 0 | | |
