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SC3: consensus clustering of single-cell RNA-seq data.
Kiselev VY, Kirschner K, Schaub MT, Andrews T, Yiu A, Chandra T, Natarajan KN, Reik W, Barahona M, Green AR, Hemberg M. Kiselev VY, et al. Nat Methods. 2017 May;14(5):483-486. doi: 10.1038/nmeth.4236. Epub 2017 Mar 27. Nat Methods. 2017. PMID: 28346451 Free PMC article.
M3Drop: dropout-based feature selection for scRNASeq.
Andrews TS, Hemberg M. Andrews TS, et al. Bioinformatics. 2019 Aug 15;35(16):2865-2867. doi: 10.1093/bioinformatics/bty1044. Bioinformatics. 2019. PMID: 30590489 Free PMC article.
Identifying cell populations with scRNASeq.
Andrews TS, Hemberg M. Andrews TS, et al. Mol Aspects Med. 2018 Feb;59:114-122. doi: 10.1016/j.mam.2017.07.002. Epub 2017 Jul 25. Mol Aspects Med. 2018. PMID: 28712804 Free article. Review.
False signals induced by single-cell imputation.
Andrews TS, Hemberg M. Andrews TS, et al. F1000Res. 2018 Nov 2;7:1740. doi: 10.12688/f1000research.16613.2. eCollection 2018. F1000Res. 2018. PMID: 30906525 Free PMC article.
24 results