Love MI - Search Results

1

TreeTerminus -creating transcript trees using inferential replicate counts.

Singh NP, Love MI, Patro R. Singh NP, et al. Among authors: love mi. iScience. 2023 May 25;26(6):106961. doi: 10.1016/j.isci.2023.106961. eCollection 2023 Jun 16. iScience. 2023. PMID: 37378336 Free PMC article.

2

Salmon provides fast and bias-aware quantification of transcript expression.

Patro R, Duggal G, Love MI, Irizarry RA, Kingsford C. Patro R, et al. Among authors: love mi. Nat Methods. 2017 Apr;14(4):417-419. doi: 10.1038/nmeth.4197. Epub 2017 Mar 6. Nat Methods. 2017. PMID: 28263959 Free PMC article.

3

Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification.

Love MI, Soneson C, Patro R. Love MI, et al. F1000Res. 2018 Jun 27;7:952. doi: 10.12688/f1000research.15398.3. eCollection 2018. F1000Res. 2018. PMID: 30356428 Free PMC article.

4

A junction coverage compatibility score to quantify the reliability of transcript abundance estimates and annotation catalogs.

Soneson C, Love MI, Patro R, Hussain S, Malhotra D, Robinson MD. Soneson C, et al. Among authors: love mi. Life Sci Alliance. 2019 Jan 17;2(1):e201800175. doi: 10.26508/lsa.201800175. Print 2019 Feb. Life Sci Alliance. 2019. PMID: 30655364 Free PMC article.

5

Nonparametric expression analysis using inferential replicate counts.

Zhu A, Srivastava A, Ibrahim JG, Patro R, Love MI. Zhu A, et al. Among authors: love mi. Nucleic Acids Res. 2019 Oct 10;47(18):e105. doi: 10.1093/nar/gkz622. Nucleic Acids Res. 2019. PMID: 31372651 Free PMC article.

6

Tximeta: Reference sequence checksums for provenance identification in RNA-seq.

Love MI, Soneson C, Hickey PF, Johnson LK, Pierce NT, Shepherd L, Morgan M, Patro R. Love MI, et al. PLoS Comput Biol. 2020 Feb 25;16(2):e1007664. doi: 10.1371/journal.pcbi.1007664. eCollection 2020 Feb. PLoS Comput Biol. 2020. PMID: 32097405 Free PMC article.

7

Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data.

Sarkar H, Srivastava A, Bravo HC, Love MI, Patro R. Sarkar H, et al. Among authors: love mi. Bioinformatics. 2020 Jul 1;36(Suppl_1):i102-i110. doi: 10.1093/bioinformatics/btaa448. Bioinformatics. 2020. PMID: 32657377 Free PMC article.

8

Alignment and mapping methodology influence transcript abundance estimation.

Srivastava A, Malik L, Sarkar H, Zakeri M, Almodaresi F, Soneson C, Love MI, Kingsford C, Patro R. Srivastava A, et al. Among authors: love mi. Genome Biol. 2020 Sep 7;21(1):239. doi: 10.1186/s13059-020-02151-8. Genome Biol. 2020. PMID: 32894187 Free PMC article.

9

Compression of quantification uncertainty for scRNA-seq counts.

Van Buren S, Sarkar H, Srivastava A, Rashid NU, Patro R, Love MI. Van Buren S, et al. Among authors: love mi. Bioinformatics. 2021 Jul 19;37(12):1699-1707. doi: 10.1093/bioinformatics/btab001. Bioinformatics. 2021. PMID: 33471073 Free PMC article.

10

Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasets.

Mu W, Sarkar H, Srivastava A, Choi K, Patro R, Love MI. Mu W, et al. Among authors: love mi. Bioinformatics. 2022 May 13;38(10):2773-2780. doi: 10.1093/bioinformatics/btac212. Bioinformatics. 2022. PMID: 35561168 Free PMC article.

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