| Enrichr: a comprehensive gene set enrichment analysis web server 2016 update MV Kuleshov, MR Jones, AD Rouillard, NF Fernandez, Q Duan, Z Wang, ... Nucleic acids research 44 (W1), W90-W97, 2016 | 8419 | 2016 |
| Gene set knowledge discovery with Enrichr Z Xie, A Bailey, MV Kuleshov, DJB Clarke, JE Evangelista, SL Jenkins, ... Current protocols 1 (3), e90, 2021 | 2001 | 2021 |
| The library of integrated network-based cellular signatures NIH program: system-level cataloging of human cells response to perturbations AB Keenan, SL Jenkins, KM Jagodnik, S Koplev, E He, D Torre, Z Wang, ... Cell systems 6 (1), 13-24, 2018 | 408 | 2018 |
| eXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks DJB Clarke, MV Kuleshov, BM Schilder, D Torre, ME Duffy, AB Keenan, ... Nucleic acids research 46 (W1), W171-W179, 2018 | 178 | 2018 |
| KEA3: improved kinase enrichment analysis via data integration MV Kuleshov, Z Xie, ABK London, J Yang, JE Evangelista, A Lachmann, ... Nucleic acids research 49 (W1), W304-W316, 2021 | 95 | 2021 |
| The COVID-19 drug and gene set library MV Kuleshov, DJ Stein, DJB Clarke, E Kropiwnicki, KM Jagodnik, A Bartal, ... Patterns 1 (6), 2020 | 77* | 2020 |
| modEnrichr: a suite of gene set enrichment analysis tools for model organisms MV Kuleshov, JEL Diaz, ZN Flamholz, AB Keenan, A Lachmann, ... Nucleic acids research 47 (W1), W183-W190, 2019 | 72 | 2019 |
| Geneshot: search engine for ranking genes from arbitrary text queries A Lachmann, BM Schilder, ML Wojciechowicz, D Torre, MV Kuleshov, ... Nucleic acids research 47 (W1), W571-W577, 2019 | 71 | 2019 |
| Enrichr: A comprehensive gene set enrichment analysis web server 2016 update., 2016, 44, pp MV Kuleshov, MR Jones, AD Rouillard, NF Fernandez, Q Duan, Z Wang, ... W90-W97. DOI: https://doi. org/10.1093/nar/gkw377, 0 | 51 | |
| SigCom LINCS: data and metadata search engine for a million gene expression signatures JE Evangelista, DJB Clarke, Z Xie, A Lachmann, M Jeon, K Chen, ... Nucleic acids research 50 (W1), W697-W709, 2022 | 43 | 2022 |
| Chemokine signatures of pathogen-specific T cells I: effector T cells J Eberlein, B Davenport, TT Nguyen, F Victorino, K Jhun, V van der Heide, ... The Journal of Immunology 205 (8), 2169-2187, 2020 | 37 | 2020 |
| Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning E Kropiwnicki, JE Evangelista, DJ Stein, DJB Clarke, A Lachmann, ... Database 2021, baab017, 2021 | 21 | 2021 |
| Datasets2Tools, repository and search engine for bioinformatics datasets, tools and canned analyses D Torre, P Krawczuk, KM Jagodnik, A Lachmann, Z Wang, L Wang, ... Scientific data 5 (1), 1-10, 2018 | 16 | 2018 |
| Chemokine signatures of pathogen-specific T cells II: Memory T cells in acute and chronic infection B Davenport, J Eberlein, TT Nguyen, F Victorino, V van der Heide, ... The Journal of Immunology 205 (8), 2188-2206, 2020 | 8 | 2020 |
| lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs GB Marino, ML Wojciechowicz, DJB Clarke, MV Kuleshov, Z Xie, M Jeon, ... Database 2023, baad009, 2023 | 6 | 2023 |
| Gene and drug landing page aggregator DJB Clarke, MV Kuleshov, Z Xie, JE Evangelista, MR Meyers, ... Bioinformatics Advances 2 (1), vbac013, 2022 | 1 | 2022 |
Avi Ma'ayanProfessor, Icahn School of Medicine at Mount Sinai, New York, NY在 mssm.edu 的电子邮件经过验证
