| Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma NP Singh, RS Bapi, PK Vinod Computers in biology and medicine 100, 92-99, 2018 | 41 | 2018 |
| Integrative analysis of DNA methylation and gene expression in papillary renal cell carcinoma NP Singh, PK Vinod Molecular Genetics and Genomics 295 (3), 807-824, 2020 | 29 | 2020 |
| Fulgor: a fast and compact k-mer index for large-scale matching and color queries J Fan, J Khan, NP Singh, GE Pibiri, R Patro Algorithms for Molecular Biology 19 (1), 3, 2024 | 19 | 2024 |
| SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty EY Wu, NP Singh, K Choi, M Zakeri, M Vincent, GA Churchill, ... Genome biology 24 (1), 165, 2023 | 4 | 2023 |
| TreeTerminus—creating transcript trees using inferential replicate counts NP Singh, MI Love, R Patro Iscience 26 (6), 2023 | 1 | 2023 |
| The bromodomain inhibitor JQ1 is a molecular glue targeting centromeres S Corless, N Pratap-Singh, NS Benabdallah, J Böhm, AM Simon, V Dolejš, ... bioRxiv, 2023.03. 15.532673, 2023 | 1 | 2023 |
| Tree-based differential testing using inferential uncertainty for RNA-Seq NP Singh, EY Wu, J Fan, MI Love, R Patro bioRxiv, 2023 | | 2023 |
| Identification of Biomarkers for Stage Prediction in Papillary Renal Cell Carcinoma NP Singh, RS Bapi, PK Vinod Canadian Journal of Biotechnology 1 (Special), 72, 2017 | | 2017 |
Rob PatroAssociate Professor, Department of Computer Science, University of Maryland在 cs.umd.edu 的电子邮件经过验证
