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