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Items: 41


Maternal cardiovascular-related single nucleotide polymorphisms, genes, and pathways associated with early-onset preeclampsia.

Benny P, Yamasato K, Yunits B, Zhu X, Ching T, Garmire LX, Berry MJ, Towner D.

PLoS One. 2019 Sep 26;14(9):e0222672. doi: 10.1371/journal.pone.0222672. eCollection 2019.


A Novel FGFR3 Splice Variant Preferentially Expressed in African American Prostate Cancer Drives Aggressive Phenotypes and Docetaxel Resistance.

Olender J, Wang BD, Ching T, Garmire LX, Garofano K, Ji Y, Knox T, Latham P, Nguyen K, Rhim J, Lee NH.

Mol Cancer Res. 2019 Oct;17(10):2115-2125. doi: 10.1158/1541-7786.MCR-19-0415. Epub 2019 Jul 2.


The Pediatric Cell Atlas: Defining the Growth Phase of Human Development at Single-Cell Resolution.

Taylor DM, Aronow BJ, Tan K, Bernt K, Salomonis N, Greene CS, Frolova A, Henrickson SE, Wells A, Pei L, Jaiswal JK, Whitsett J, Hamilton KE, MacParland SA, Kelsen J, Heuckeroth RO, Potter SS, Vella LA, Terry NA, Ghanem LR, Kennedy BC, Helbig I, Sullivan KE, Castelo-Soccio L, Kreigstein A, Herse F, Nawijn MC, Koppelman GH, Haendel M, Harris NL, Rokita JL, Zhang Y, Regev A, Rozenblatt-Rosen O, Rood JE, Tickle TL, Vento-Tormo R, Alimohamed S, Lek M, Mar JC, Loomes KM, Barrett DM, Uapinyoying P, Beggs AH, Agrawal PB, Chen YW, Muir AB, Garmire LX, Snapper SB, Nazarian J, Seeholzer SH, Fazelinia H, Singh LN, Faryabi RB, Raman P, Dawany N, Xie HM, Devkota B, Diskin SJ, Anderson SA, Rappaport EF, Peranteau W, Wikenheiser-Brokamp KA, Teichmann S, Wallace D, Peng T, Ding YY, Kim MS, Xing Y, Kong SW, Bönnemann CG, Mandl KD, White PS.

Dev Cell. 2019 Apr 8;49(1):10-29. doi: 10.1016/j.devcel.2019.03.001. Epub 2019 Mar 28. Review.


Lilikoi: an R package for personalized pathway-based classification modeling using metabolomics data.

Al-Akwaa FM, Yunits B, Huang S, Alhajaji H, Garmire LX.

Gigascience. 2018 Dec 1;7(12). doi: 10.1093/gigascience/giy136.


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.


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.


Enter the Matrix: Factorization Uncovers Knowledge from Omics.

Stein-O'Brien GL, Arora R, Culhane AC, Favorov AV, Garmire LX, Greene CS, Goff LA, Li Y, Ngom A, Ochs MF, Xu Y, Fertig EJ.

Trends Genet. 2018 Oct;34(10):790-805. doi: 10.1016/j.tig.2018.07.003. Epub 2018 Aug 22. Review.


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.


Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data.

Ching T, Zhu X, Garmire LX.

PLoS Comput Biol. 2018 Apr 10;14(4):e1006076. doi: 10.1371/journal.pcbi.1006076. eCollection 2018 Apr.


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.


Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists.

Zhu X, Wolfgruber TK, Tasato A, Arisdakessian C, Garmire DG, Garmire LX.

Genome Med. 2017 Dec 5;9(1):108. doi: 10.1186/s13073-017-0492-3.


Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data.

Alakwaa FM, Chaudhary K, Garmire LX.

J Proteome Res. 2018 Jan 5;17(1):337-347. doi: 10.1021/acs.jproteome.7b00595. Epub 2017 Nov 27.


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.


More Is Better: Recent Progress in Multi-Omics Data Integration Methods.

Huang S, Chaudhary K, Garmire LX.

Front Genet. 2017 Jun 16;8:84. doi: 10.3389/fgene.2017.00084. eCollection 2017. Review.


Celebrating parasites.

Greene CS, Garmire LX, Gilbert JA, Ritchie MD, Hunter LE.

Nat Genet. 2017 Mar 30;49(4):483-484. doi: 10.1038/ng.3830. No abstract available.


Single cell transcriptomics reveals unanticipated features of early hematopoietic precursors.

Yang J, Tanaka Y, Seay M, Li Z, Jin J, Garmire LX, Zhu X, Taylor A, Li W, Euskirchen G, Halene S, Kluger Y, Snyder MP, Park IH, Pan X, Weissman SM.

Nucleic Acids Res. 2017 Feb 17;45(3):1281-1296. doi: 10.1093/nar/gkw1214.


Time Series miRNA-mRNA integrated analysis reveals critical miRNAs and targets in macrophage polarization.

Lu L, McCurdy S, Huang S, Zhu X, Peplowska K, Tiirikainen M, Boisvert WA, Garmire LX.

Sci Rep. 2016 Dec 16;6:37446. doi: 10.1038/srep37446.



Garmire LX, Gliske S, Nguyen QC, Chen JH, Nemati S, VAN Horn JD, Moore JH, Shreffler C, Dunn M.

Pac Symp Biocomput. 2017;22:640-645. doi: 10.1142/9789813207813_0059.


Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer.

Wei R, De Vivo I, Huang S, Zhu X, Risch H, Moore JH, Yu H, Garmire LX.

Oncotarget. 2016 Aug 23;7(34):55249-55263. doi: 10.18632/oncotarget.10509.


Pan-Cancer Analyses Reveal Long Intergenic Non-Coding RNAs Relevant to Tumor Diagnosis, Subtyping and Prognosis.

Ching T, Peplowska K, Huang S, Zhu X, Shen Y, Molnar J, Yu H, Tiirikainen M, Fogelgren B, Fan R, Garmire LX.

EBioMedicine. 2016 May;7:62-72. doi: 10.1016/j.ebiom.2016.03.023. Epub 2016 Mar 19.


Novel personalized pathway-based metabolomics models reveal key metabolic pathways for breast cancer diagnosis.

Huang S, Chong N, Lewis NE, Jia W, Xie G, Garmire LX.

Genome Med. 2016 Mar 31;8(1):34. doi: 10.1186/s13073-016-0289-9.


Non-coding yet non-trivial: a review on the computational genomics of lincRNAs.

Ching T, Masaki J, Weirather J, Garmire LX.

BioData Min. 2015 Dec 22;8:44. doi: 10.1186/s13040-015-0075-z. eCollection 2015. Review.


Th17 cells transdifferentiate into regulatory T cells during resolution of inflammation.

Gagliani N, Amezcua Vesely MC, Iseppon A, Brockmann L, Xu H, Palm NW, de Zoete MR, Licona-Limón P, Paiva RS, Ching T, Weaver C, Zi X, Pan X, Fan R, Garmire LX, Cotton MJ, Drier Y, Bernstein B, Geginat J, Stockinger B, Esplugues E, Huber S, Flavell RA.

Nature. 2015 Jul 9;523(7559):221-5. doi: 10.1038/nature14452. Epub 2015 Apr 29.


Using epigenomics data to predict gene expression in lung cancer.

Li J, Ching T, Huang S, Garmire LX.

BMC Bioinformatics. 2015;16 Suppl 5:S10. doi: 10.1186/1471-2105-16-S5-S10. Epub 2015 Mar 18.


Genome-scale hypomethylation in the cord blood DNAs associated with early onset preeclampsia.

Ching T, Ha J, Song MA, Tiirikainen M, Molnar J, Berry MJ, Towner D, Garmire LX.

Clin Epigenetics. 2015 Mar 13;7:21. doi: 10.1186/s13148-015-0052-x. eCollection 2015.


mirMark: a site-level and UTR-level classifier for miRNA target prediction.

Menor M, Ching T, Zhu X, Garmire D, Garmire LX.

Genome Biol. 2014;15(10):500.


Co-detection and sequencing of genes and transcripts from the same single cells facilitated by a microfluidics platform.

Han L, Zi X, Garmire LX, Wu Y, Weissman SM, Pan X, Fan R.

Sci Rep. 2014 Sep 26;4:6485. doi: 10.1038/srep06485.


Power analysis and sample size estimation for RNA-Seq differential expression.

Ching T, Huang S, Garmire LX.

RNA. 2014 Nov;20(11):1684-96. doi: 10.1261/rna.046011.114. Epub 2014 Sep 22.


A novel model to combine clinical and pathway-based transcriptomic information for the prognosis prediction of breast cancer.

Huang S, Yee C, Ching T, Yu H, Garmire LX.

PLoS Comput Biol. 2014 Sep 18;10(9):e1003851. doi: 10.1371/journal.pcbi.1003851. eCollection 2014 Sep.


Genome-wide hypermethylation coupled with promoter hypomethylation in the chorioamniotic membranes of early onset pre-eclampsia.

Ching T, Song MA, Tiirikainen M, Molnar J, Berry M, Towner D, Garmire LX.

Mol Hum Reprod. 2014 Sep;20(9):885-904. doi: 10.1093/molehr/gau046. Epub 2014 Jun 18.


The poor performance of TMM on microRNA-Seq.

Garmire LX, Subramaniam S.

RNA. 2013 Jun;19(6):735-6. doi: 10.1261/rna.039271.113. Epub 2013 Apr 24. No abstract available.


Whole-genome microRNA screening identifies let-7 and mir-18 as regulators of germ layer formation during early embryogenesis.

Colas AR, McKeithan WL, Cunningham TJ, Bushway PJ, Garmire LX, Duester G, Subramaniam S, Mercola M.

Genes Dev. 2012 Dec 1;26(23):2567-79. doi: 10.1101/gad.200758.112. Epub 2012 Nov 14.


Inter-cellular signaling network reveals a mechanistic transition in tumor microenvironment.

Wu Y, Garmire LX, Fan R.

Integr Biol (Camb). 2012 Dec;4(12):1478-86. doi: 10.1039/c2ib20044a.


Regulated accumulation of desmosterol integrates macrophage lipid metabolism and inflammatory responses.

Spann NJ, Garmire LX, McDonald JG, Myers DS, Milne SB, Shibata N, Reichart D, Fox JN, Shaked I, Heudobler D, Raetz CR, Wang EW, Kelly SL, Sullards MC, Murphy RC, Merrill AH Jr, Brown HA, Dennis EA, Li AC, Ley K, Tsimikas S, Fahy E, Subramaniam S, Quehenberger O, Russell DW, Glass CK.

Cell. 2012 Sep 28;151(1):138-52. doi: 10.1016/j.cell.2012.06.054.


Evaluation of normalization methods in mammalian microRNA-Seq data.

Garmire LX, Subramaniam S.

RNA. 2012 Jun;18(6):1279-88. doi: 10.1261/rna.030916.111. Epub 2012 Apr 24.


A global clustering algorithm to identify long intergenic non-coding RNA--with applications in mouse macrophages.

Garmire LX, Garmire DG, Huang W, Yao J, Glass CK, Subramaniam S.

PLoS One. 2011;6(9):e24051. doi: 10.1371/journal.pone.0024051. Epub 2011 Sep 30.


Regulatory network of microRNAs in RAW 264.7 macrophage cells.

Garmire LX, Shen Z, Briggs S, Yeo G, Subramaniam S, Glass C.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:6198-201. doi: 10.1109/IEMBS.2010.5627742.


Role of microRNA-23b in flow-regulation of Rb phosphorylation and endothelial cell growth.

Wang KC, Garmire LX, Young A, Nguyen P, Trinh A, Subramaniam S, Wang N, Shyy JY, Li YS, Chien S.

Proc Natl Acad Sci U S A. 2010 Feb 16;107(7):3234-9. doi: 10.1073/pnas.0914825107. Epub 2010 Jan 27.


In silico methods for unraveling the mechanistic complexities of intestinal absorption: metabolism-efflux transport interactions.

Garmire LX, Hunt CA.

Drug Metab Dispos. 2008 Jul;36(7):1414-24. doi: 10.1124/dmd.107.020164. Epub 2008 Apr 24.


An in silico transwell device for the study of drug transport and drug-drug interactions.

Garmire LX, Garmire DG, Hunt CA.

Pharm Res. 2007 Dec;24(12):2171-86. Epub 2007 Aug 17.


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