| State of the field in multi-omics research: from computational needs to data mining and sharing M Krassowski, V Das, SK Sahu, BB Misra Frontiers in Genetics 11, 610798, 2020 | 236 | 2020 |
| RNAontheBENCH: computational and empirical resources for benchmarking RNAseq quantification and differential expression methods PL Germain, A Vitriolo, A Adamo, P Laise, V Das, G Testa Nucleic acids research 44 (11), 5054-5067, 2016 | 56 | 2016 |
| Estimating gene expression from DNA methylation and copy number variation: a deep learning regression model for multi-omics integration DB Seal, V Das, S Goswami, RK De Genomics 112 (4), 2833-2841, 2020 | 51 | 2020 |
| Short-term effects of the allelochemical umbelliferone on Triticum durum L. metabolism through GC–MS based untargeted metabolomics BB Misra, V Das, M Landi, MR Abenavoli, F Araniti Plant science 298, 110548, 2020 | 19 | 2020 |
| A cell-of-origin epigenetic tracer reveals clinically distinct subtypes of high-grade serous ovarian cancer P Lo Riso, CE Villa, G Gasparoni, A Vingiani, R Luongo, A Manfredi, ... Genome Medicine 12, 1-20, 2020 | 16 | 2020 |
| EZH2-mediated H3K27me3 targets transcriptional circuits of neuronal differentiation S Buontempo, P Laise, JM Hughes, S Trattaro, V Das, C Rencurel, ... Frontiers in Neuroscience, 267, 2022 | 9 | 2022 |
| CASSL: A cell-type annotation method for single cell transcriptomics data using semi-supervised learning DB Seal, V Das, RK De Applied Intelligence 53 (2), 1287-1305, 2023 | 7 | 2023 |
| Integrated Omics Analysis Reveals Sirtuin Signaling is Central to Hepatic Response to a High Fructose Diet LA Cox, J Chan, P Rao, ZA Hamid, J Glenn, A Jadhav, V Das, G Karere, ... BMC Genomics 22, 2021 | 6 | 2021 |
| Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease C Maitra, DB Seal, V Das, RK De Frontiers in Molecular Biosciences 10, 1184748, 2023 | 2 | 2023 |
| UMINT: unsupervised neural network for single cell multi-omics integration C Maitra, DB Seal, V Das, RK De BioRxiv, 2022.04. 21.489041, 2022 | 2 | 2022 |
| Gram Vaani, A A Moitra, V Das, A Kumar Kumar, and A. Seth,“Design lessons from creating a mobile-based community …, 2016 | 2 | 2016 |
| RWOP1 Genetic risk factors associated with the multimorbid development of chronic kidney disease by cardiovascular disease patients M Ennis, P McClean, P Shukla, JL Sharman, LG Leal, Z McVey, ... Heart 110 (Suppl 2), A1-A1, 2024 | | 2024 |
| A systematic evaluation of state-of-the-art deconvolution methods in spatial transcriptomics: insights from cardiovascular disease and chronic kidney disease AO Slabowska, C Pyke, H Hvid, LE Jessen, S Baumgart, V Das Frontiers in bioinformatics 4, 1352594, 2024 | | 2024 |
| Proteome-wide analysis in 124,000 individuals identifies novel putative drug targets for chronic kidney disease J Fadista, S Hu, V Das, A Karihaloo, J Howson, D Shungin 56th European Society of Human Genetics (ESHG) Conference: Oral …, 2024 | | 2024 |
| NeuroMDAVIS: Visualization of single-cell multi-omics data under deep learning framework C Maitra, DB Seal, V Das, RK De bioRxiv, 2024.02. 17.580541, 2024 | | 2024 |
| Encompassing view of spatial and single-cell RNA-seq renews the role of the microvasculature in human atherosclerosis T Bleckwehl, S Maryam, A Babler, M Nyberg, M Bosteen, M Halder, ... bioRxiv, 2023.12. 15.571796, 2023 | | 2023 |
| UMINT-FS: UMINT-guided Feature Selection for multi-omics datasets C Maitra, DB Seal, V Das, Y Vorobeychik, RK De 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Application of multiomics to identify novel molecular mechanisms of atherosclerotic plaque instability in type 2 diabetes patients V Das, X Zhang, D Djordjevic, O Bergman, M Chemaly, D Shungin, ... 59 th EASD Annual Meeting of the European Association for the Study of …, 2023 | | 2023 |
| Single-Cell Deconvolution for Spatial Transcriptomics in Cardiorenal Disease AO Slabowska, C Pyke, H Hvid, LE Jessen, S Baumgart, V Das 31st Intelligent Systems for Molecular Biology (ISMB) conference, 2023 | | 2023 |
| Deep Learning-Based Prediction of Time-Series Single-Cell RNA-Seq Data DB Seal, S Aich, V Das, RK De Applied Computing for Software and Smart Systems: Proceedings of ACSS 2022 …, 2023 | | 2023 |
