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Items: 7

1.

Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage.

Poirion O, Zhu X, Ching T, Garmire LX.

Nat Commun. 2018 Nov 20;9(1):4892. doi: 10.1038/s41467-018-07170-5.

2.

Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes.

Chaudhary K, Poirion OB, Lu L, Huang S, Ching T, Garmire LX.

Clin Cancer Res. 2019 Jan 15;25(2):463-472. doi: 10.1158/1078-0432.CCR-18-0088. Epub 2018 Sep 21.

PMID:
30242023
3.

Deep Learning data integration for better risk stratification models of bladder cancer.

Poirion OB, Chaudhary K, Garmire LX.

AMIA Jt Summits Transl Sci Proc. 2018 May 18;2017:197-206. eCollection 2018.

4.

Using single-cell multiple omics approaches to resolve tumor heterogeneity.

Ortega MA, Poirion O, Zhu X, Huang S, Wolfgruber TK, Sebra R, Garmire LX.

Clin Transl Med. 2017 Dec 28;6(1):46. doi: 10.1186/s40169-017-0177-y. Review.

5.

Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer.

Chaudhary K, Poirion OB, Lu L, Garmire LX.

Clin Cancer Res. 2018 Mar 15;24(6):1248-1259. doi: 10.1158/1078-0432.CCR-17-0853. Epub 2017 Oct 5.

6.

Single-Cell Transcriptomics Bioinformatics and Computational Challenges.

Poirion OB, Zhu X, Ching T, Garmire L.

Front Genet. 2016 Sep 21;7:163. eCollection 2016. Review.

7.

Inferring phylogenies of evolving sequences without multiple sequence alignment.

Chan CX, Bernard G, Poirion O, Hogan JM, Ragan MA.

Sci Rep. 2014 Sep 30;4:6504. doi: 10.1038/srep06504.

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