De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
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SLICE: determining cell differentiation and lineage based on single cell entropy.Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptomeA Single-Cell Transcriptome Atlas of the Human Pancreas.Dpath software reveals hierarchical haemato-endothelial lineages of Etv2 progenitors based on single-cell transcriptome analysis.Retracing the in vivo haematopoietic tree using single-cell methods.Discovering sparse transcription factor codes for cell states and state transitions during developmentRevealing the vectors of cellular identity with single-cell genomics.Understanding development and stem cells using single cell-based analyses of gene expression.Is a β cell a β cell?Recent progress in single-cell cancer genomics.Genomics of Islet (Dys)function and Type 2 Diabetes.Systematic single-cell analysis provides new insights into heterogeneity and plasticity of the pancreas.Challenges and emerging directions in single-cell analysis.Single cell analysis of normal and leukemic hematopoiesis.Cross-Tissue Identification of Somatic Stem and Progenitor Cells Using a Single-Cell RNA-Sequencing Derived Gene Signature.The Human Cell Atlas.Endothelial stem and progenitor cells (stem cells): (2017 Grover Conference Series).TMEM258 Is a Component of the Oligosaccharyltransferase Complex Controlling ER Stress and Intestinal Inflammation.Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.Precision Medicine for Acute Kidney Injury (AKI): Redefining AKI by Agnostic Kidney Tissue Interrogation and Genetics.A sparse differential clustering algorithm for tracing cell type changes via single-cell RNA-sequencing data.Application of single-cell sequencing in human cancer.The Human Cell Atlas: Technical approaches and challenges.Acid and the basis for cellular plasticity and reprogramming in gastric repair and cancer.Identity and dynamics of mammary stem cells during branching morphogenesis.BEARscc determines robustness of single-cell clusters using simulated technical replicates.Reconstruction of complex single-cell trajectories using CellRouter.Single-cell RNA-seq analysis unveils a prevalent epithelial/mesenchymal hybrid state during mouse organogenesis.Expansion of Adult Human Pancreatic Tissue Yields Organoids Harboring Progenitor Cells with Endocrine Differentiation Potential.Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation.GiniClust2: a cluster-aware, weighted ensemble clustering method for cell-type detection.The Polycomb-Dependent Epigenome Controls β Cell Dysfunction, Dedifferentiation, and Diabetes.Single-cell transcriptomics reveal the dynamic of haematopoietic stem cell production in the aorta.Development of in vitro enteroids derived from bovine small intestinal crypts.A systematic performance evaluation of clustering methods for single-cell RNA-seq dataBatch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighborsSingle cell RNA-seq reveals profound transcriptional similarity between Barrett's oesophagus and oesophageal submucosal glandsGenetic and scRNA-seq Analysis Reveals Distinct Cell Populations that Contribute to Salivary Gland Development and MaintenanceGraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledgeUnique microglia recovery population revealed by single-cell RNAseq following neurodegeneration
P2860
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P2860
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
description
2016 nî lūn-bûn
@nan
2016 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
@ast
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
@en
type
label
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
@ast
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
@en
prefLabel
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
@ast
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
@en
P2093
P2860
P50
P1433
P1476
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
@en
P2093
Anna Lyubimova
Dominic Grün
Eelco J P de Koning
Erik Jansen
Gitanjali Dharmadhikari
Hans Clevers
Jean-Charles Boisset
Johan van Es
Kay Wiebrands
Mauro J Muraro
P2860
P304
P356
10.1016/J.STEM.2016.05.010
P407
P577
2016-06-21T00:00:00Z