Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data von Ching, Travers, Zhu, Xun, Garmire, Lana X

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Nonlinear optics in daily life von Garmire, Elsa

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Perspectives on stimulated Brillouin scattering von Garmire, Elsa

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ASGARD is A Single-cell Guided Pipeline to Aid Repurposing of Drugs von He, Bing, Xiao, Yao, Liang, Haodong, Huang, Qianhui, Du, Yuheng, Li, Yijun, Garmire, David, Sun, Duxin, Garmire, Lana X.

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DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data von Arisdakessian, Cédric, Poirion, Olivier, Yunits, Breck, Zhu, Xun, Garmire, Lana X

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Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer von Chaudhary, Kumardeep, Poirion, Olivier B, Lu, Liangqun, Garmire, Lana X

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Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data von Alakwaa, Fadhl M, Chaudhary, Kumardeep, Garmire, Lana X

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Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists von Zhu, Xun, Wolfgruber, Thomas K, Tasato, Austin, Arisdakessian, Cédric, Garmire, David G, Garmire, Lana X

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Power analysis and sample size estimation for RNA-Seq differential expression von Ching, Travers, Huang, Sijia, Garmire, Lana X

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Mentorship is not co-authorship: a revisit to mentorship von Garmire, Lana X

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DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data von Poirion, Olivier B, Jing, Zheng, Chaudhary, Kumardeep, Huang, Sijia, Garmire, Lana X

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A global clustering algorithm to identify long intergenic non-coding RNA--with applications in mouse macrophages von Garmire, Lana X, Garmire, David G, Huang, Wendy, Yao, Joyee, Glass, Christopher K, Subramaniam, Shankar

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Regulated Accumulation of Desmosterol Integrates Macrophage Lipid Metabolism and Inflammatory Responses von Spann, Nathanael J., Garmire, Lana X., McDonald, Jeffrey G., Myers, David S., Milne, Stephen B., Shibata, Norihito, Reichart, Donna, Fox, Jesse N., Shaked, Iftach, Heudobler, Daniel, Raetz, Christian R.H., Wang, Elaine W., Kelly, Samuel L., Sullards, M. Cameron, Murphy, Robert C., Merrill, Alfred H., Brown, H. Alex, Dennis, Edward A., Li, Andrew C., Ley, Klaus, Tsimikas, Sotirios, Fahy, Eoin, Subramaniam, Shankar, Quehenberger, Oswald, Russell, David W., Glass, Christopher K.

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From Hawaii to PECASE award: tips of success from a female bioinformatician von Garmire, Lana X

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Stimulated Brillouin Review: Invented 50 Years Ago and Applied Today von Garmire, Elsa

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Evaluation of STAR and Kallisto on Single Cell RNA-Seq Data Alignment von Du, Yuheng, Huang, Qianhui, Arisdakessian, Cedric, Garmire, Lana X

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Blood-derived lncRNAs as biomarkers for cancer diagnosis: the Good, the Bad and the Beauty von Badowski, Cedric, He, Bing, Garmire, Lana X.

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Strong and Rapid X-Ray Variability of the Super-Eddington Accreting Quasar SDSS J081456.10+532533.5 von Huang, Jian, Luo, Bin, Brandt, W. N., Du, Pu, Garmire, Gordon P., Hu, Chen, Liu, Hezhen, Ni, Qingling, Wang, Jian-Min

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Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data von Huang, Qianhui, Liu, Yu, Du, Yuheng, Garmire, Lana X.

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Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage von Poirion, Olivier, Zhu, Xun, Ching, Travers, Garmire, Lana X.

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