|Th17 cells transdifferentiate into regulatory T cells during resolution of inflammation|
N Gagliani, MCA Vesely, A Iseppon, L Brockmann, H Xu, NW Palm, ...
Nature 523 (7559), 221-225, 2015
|Regulated accumulation of desmosterol integrates macrophage lipid metabolism and inflammatory responses|
NJ Spann, LX Garmire, JG McDonald, DS Myers, SB Milne, N Shibata, ...
Cell 151 (1), 138-152, 2012
|More is better: recent progress in multi-omics data integration methods|
S Huang, K Chaudhary, LX Garmire
Frontiers in genetics 8, 84, 2017
|Deep learning–based multi-omics integration robustly predicts survival in liver cancer|
K Chaudhary, OB Poirion, L Lu, LX Garmire
Clinical Cancer Research 24 (6), 1248-1259, 2018
|Targeted, high-depth, next-generation sequencing of cancer genes in formalin-fixed, paraffin-embedded and fine-needle aspiration tumor specimens|
AG Hadd, J Houghton, A Choudhary, S Sah, L Chen, AC Marko, ...
The Journal of Molecular Diagnostics 15 (2), 234-247, 2013
|Power analysis and sample size estimation for RNA-Seq differential expression|
T Ching, S Huang, LX Garmire
Rna 20 (11), 1684-1696, 2014
|Role of microRNA-23b in flow-regulation of Rb phosphorylation and endothelial cell growth|
KC Wang, LX Garmire, A Young, P Nguyen, A Trinh, S Subramaniam, ...
Proceedings of the National Academy of Sciences 107 (7), 3234-3239, 2010
|Cox-nnet: an artificial neural network method for prognosis prediction of high-throughput omics data|
T Ching, X Zhu, LX Garmire
PLoS computational biology 14 (4), e1006076, 2018
|Evaluation of normalization methods in mammalian microRNA-Seq data|
LX Garmire, S Subramaniam
Rna 18 (6), 1279-1288, 2012
|Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data|
FM Alakwaa, K Chaudhary, LX Garmire
Journal of proteome research 17 (1), 337-347, 2018
|Enter the matrix: factorization uncovers knowledge from omics|
GL Stein-O’Brien, R Arora, AC Culhane, AV Favorov, LX Garmire, ...
Trends in Genetics 34 (10), 790-805, 2018
|Single-cell transcriptomics bioinformatics and computational challenges|
OB Poirion, X Zhu, T Ching, L Garmire
Frontiers in genetics 7, 163, 2016
|Novel personalized pathway-based metabolomics models reveal key metabolic pathways for breast cancer diagnosis|
S Huang, N Chong, NE Lewis, W Jia, G Xie, LX Garmire
Genome medicine 8 (1), 1-14, 2016
|A novel model to combine clinical and pathway-based transcriptomic information for the prognosis prediction of breast cancer|
S Huang, C Yee, T Ching, H Yu, LX Garmire
PLoS Comput Biol 10 (9), e1003851, 2014
|DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data|
C Arisdakessian, O Poirion, B Yunits, X Zhu, LX Garmire
Genome biology 20 (1), 1-14, 2019
|Whole-genome microRNA screening identifies let-7 and mir-18 as regulators of germ layer formation during early embryogenesis|
AR Colas, WL McKeithan, TJ Cunningham, PJ Bushway, LX Garmire, ...
Genes & development 26 (23), 2567-2579, 2012
|Alternative splicing promotes tumour aggressiveness and drug resistance in African American prostate cancer|
BD Wang, K Ceniccola, SJ Hwang, R Andrawis, A Horvath, JA Freedman, ...
Nature communications 8 (1), 1-15, 2017
|Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists|
X Zhu, TK Wolfgruber, A Tasato, C Arisdakessian, DG Garmire, ...
Genome medicine 9 (1), 1-12, 2017
|Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization|
X Zhu, T Ching, X Pan, SM Weissman, L Garmire
PeerJ 5, e2888, 2017
|Co-detection and sequencing of genes and transcripts from the same single cells facilitated by a microfluidics platform|
L Han, X Zi, LX Garmire, Y Wu, SM Weissman, X Pan, R Fan
Scientific reports 4 (1), 1-9, 2014