Analyzing single-cell landscapes

December 4, 2018 Leave a comment 2,017 Views

Single-cell RNA sequencing is a powerful tool for studying cellular diversity, for example in cancer where varied tumor cell types determine diagnosis, prognosis and response to therapy. Single-cell technologies generate hundreds to thousands...

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Analyzing single-cell landscapes

scONE-seq – A single-cell multi-omics method enables simultaneous dissection of phenotype and genotype heterogeneity from frozen tumors

Phasik – inferring cell cycle phases from a partially temporal network of protein interactions

Single-cell transcriptomic profiling of Crohn’s disease reveals a detailed picture of inflammation in the gut

Gene expression model inference from snapshot RNA data using Bayesian non-parametrics

LeukemiaDB – a comprehensive human leukemia transcriptome database

Temporal transcriptomics analysis finds mating causes ‘jet lag’ in female fruit flies, changing behavior

DGAN – improved downstream functional analysis of single-cell RNA-sequence data