Garmire, Lana X.

Deep learning-based multi-omics integration robustly predicts survival in liver cancer

Chaudhary, K., Poirion, O. B., Lu, L., & Garmire, L. X. (2018) · Clinical Cancer Research

Hepatocellular Carcinoma Treatment and PrognosisCancer-related molecular mechanisms research

Cited by 1,091

Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization

Zhu, X., Ching, T., Pan, X., Weissman, S. M., & Garmire, L. (2017) · PeerJ

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 86

Using single‐cell multiple omics approaches to resolve tumor heterogeneity

Ortega, M. A., Poirion, O., Zhu, X., Huang, S., Wolfgruber, T. K., Sebra, R., & Garmire, L. X. (2017) · Clinical and Translational Medicine

Single-cell and spatial transcriptomicsCancer Genomics and Diagnostics

Cited by 81

Computational methods for single-cell multi-omics integration and alignment

Stanojevic, S., Li, Y., Ristivojevic, A., & Garmire, L. X. (2022) · Genomics, Proteomics & Bioinformatics

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 74

SINGLE CELL ANALYSIS, WHAT IS IN THE FUTURE?

Garmire, L. X., Yuan, G.-C., Fan, R., Yeo, G. W., & Quackenbush, J. (2018) · Biocomputing 2019

Single-cell and spatial transcriptomicsAdvanced Fluorescence Microscopy Techniques

Cited by 2