MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
  • Finak et al.,
  • Genome Biology,
  • 2015
Computational Methods
Statistics
Alex K. Shalek
Single-Cell Genomics Unveils Critical Regulators of Th17 Cell Pathogenicity
  • Gaublomme et al.,
  • Cell,
  • 2015
Biology
Genomics
Immunology
Alex K. Shalek
Oct1 and OCA-B are selectively required for CD4 memory T cell function
  • Shakya et al.,
  • J. Exp. Med.,
  • 2015
Biology
Genomics
Immunology
Alex K. Shalek
Pathogen Cell-to-Cell Variability Drives Heterogeneity in Host Immune Responses
  • Avraham et al.,
  • Cell,
  • 2015
Biology
Genomics
Immunology
Infectious Disease
Microbiology
Technology
Alex K. Shalek
Marrying microfluidics and microwells for parallel, high-throughput single-cell genomics
  • Wadsworth II et al.,
  • Genome Biology,
  • 2015
Genomics
R&D
Technology
Marc Wadsworth II
Travis Hughes
Alex K. Shalek
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
  • Macosko et al.,
  • Cell,
  • 2015
Genomics
R&D
Technology
Alex K. Shalek