Alexander Lachmann
Affiliations: | Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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| Marino GB, Ahmed N, Xie Z, et al. (2023) D2H2: diabetes data and hypothesis hub. Bioinformatics Advances. 3: vbad178 |
| Lachmann A, Rizzo KA, Bartal A, et al. (2023) PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices. Peerj. 11: e14927 |
| Marino GB, Wojciechowicz ML, Clarke DJB, et al. (2023) lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs. Database : the Journal of Biological Databases and Curation. 2023 |
| Xie Z, Kropiwnicki E, Wojciechowicz ML, et al. (2022) Getting Started with LINCS Datasets and Tools. Current Protocols. 2: e487 |
| Evangelista JE, Clarke DJB, Xie Z, et al. (2022) SigCom LINCS: data and metadata search engine for a million gene expression signatures. Nucleic Acids Research |
| Kropiwnicki E, Lachmann A, Clarke DJB, et al. (2022) DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules. Bmc Bioinformatics. 23: 76 |
| Lachmann A, Xie Z, Ma'ayan A. (2022) blitzGSEA: Efficient computation of Gene Set Enrichment Analysis through Gamma distribution approximation. Bioinformatics (Oxford, England) |
| Kropiwnicki E, Binder JL, Yang JJ, et al. (2022) Getting Started with the IDG KMC Datasets and Tools. Current Protocols. 2: e355 |
| Kuleshov MV, Xie Z, London ABK, et al. (2021) KEA3: improved kinase enrichment analysis via data integration. Nucleic Acids Research |
| Kropiwnicki E, Evangelista JE, Stein DJ, et al. (2021) Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning. Database : the Journal of Biological Databases and Curation. 2021 |