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9. Getting Started with LINCS Datasets and Tools. Xie Z; Kropiwnicki E; Wojciechowicz ML; Jagodnik KM; Shu I; Bailey A; Clarke DJB; Jeon M; Evangelista JE; V Kuleshov M; Lachmann A; Parigi AA; Sanchez JM; Jenkins SL; Ma'ayan A Curr Protoc; 2022 Jul; 2(7):e487. PubMed ID: 35876555 [TBL] [Abstract][Full Text] [Related]
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11. A Bayesian approach to accurate and robust signature detection on LINCS L1000 data. Qiu Y; Lu T; Lim H; Xie L Bioinformatics; 2020 May; 36(9):2787-2795. PubMed ID: 32003771 [TBL] [Abstract][Full Text] [Related]
12. Transcriptomic Data Mining and Repurposing for Computational Drug Discovery. Wang Y; Yella J; Jegga AG Methods Mol Biol; 2019; 1903():73-95. PubMed ID: 30547437 [TBL] [Abstract][Full Text] [Related]
13. L1000FWD: fireworks visualization of drug-induced transcriptomic signatures. Wang Z; Lachmann A; Keenan AB; Ma'ayan A Bioinformatics; 2018 Jun; 34(12):2150-2152. PubMed ID: 29420694 [TBL] [Abstract][Full Text] [Related]
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16. Compound signature detection on LINCS L1000 big data. Liu C; Su J; Yang F; Wei K; Ma J; Zhou X Mol Biosyst; 2015 Mar; 11(3):714-22. PubMed ID: 25609570 [TBL] [Abstract][Full Text] [Related]
17. Integrating LINCS Data to Evaluate Cancer Transcriptome Modifying Potential of Small-molecule Compounds for Drug Repositioning. Zhao Y; Liu Y; Bai H Comb Chem High Throughput Screen; 2021; 24(9):1340-1350. PubMed ID: 33109034 [TBL] [Abstract][Full Text] [Related]
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