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3 results for “machine-learning”
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Pooled CRISPR screens with imaging on microraft arrays reveals stress granule-regulatory factors.
Nature methods · 2020 · 17(6): 636-642
Genetic screens using pooled CRISPR-based approaches are scalable and inexpensive, but restricted to standard readouts, including survival, proliferation and sortable markers. However, many biologically relevant cell states involve cellular and subcellular changes that are only accessible by microscopic visualization, and …
PMID 32393832 DOI ↗
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Predicting the functional states of human iPSC-derived neurons with single-cell RNA-seq and electrophysiology.
Molecular psychiatry · 2016 · 21(11): 1573-1588
Human neural progenitors derived from pluripotent stem cells develop into electrophysiologically active neurons at heterogeneous rates, which can confound disease-relevant discoveries in neurology and psychiatry. By combining patch clamping, morphological and transcriptome analysis on single-human neurons in vitro, we defined …
PMID 27698428 DOI ↗
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Early specification of CD8+ T lymphocyte fates during adaptive immunity revealed by single-cell gene-expression analyses.
Nature immunology · 2014 · 15(4): 365-372
T lymphocytes responding to microbial infection give rise to effector cells that mediate acute host defense and memory cells that provide long-lived immunity, but the fundamental question of when and how these cells arise remains unresolved. Here we combined single-cell …
PMID 24584088 DOI ↗
Datasets 1
Early specification of CD8+ T lymphocyte fates during adaptive immunity revealed by single-cell gene expression analyses
Mus musculus · GPL18198
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