Discovering sparse transcription factor codes for cell states and state transitions during development
about
Dynamics of embryonic stem cell differentiation inferred from single-cell transcriptomics show a series of transitions through discrete cell statesA new way to build cell lineages.Clustering single cells: a review of approaches on high-and low-depth single-cell RNA-seq data.Unsupervised Trajectory Analysis of Single-Cell RNA-Seq and Imaging Data Reveals Alternative Tuft Cell Origins in the Gut.Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain.Single-Cell Computational Strategies for Lineage Reconstruction in Tissue Systems.
P2860
Discovering sparse transcription factor codes for cell states and state transitions during development
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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name
Discovering sparse transcripti ...... transitions during development
@en
type
label
Discovering sparse transcripti ...... transitions during development
@en
prefLabel
Discovering sparse transcripti ...... transitions during development
@en
P2093
P2860
P356
P1433
P1476
Discovering sparse transcripti ...... transitions during development
@en
P2093
Samuel Melton
Sharad Ramanathan
Vilas Menon
P2860
P356
10.7554/ELIFE.20488
P407
P577
2017-03-15T00:00:00Z