相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Heterogeneity in Oct4 and Sox2 Targets Biases Cell Fate in 4-Cell Mouse Embryos
Mubeen Goolam et al.
CELL (2016)
g:Profiler-a web server for functional interpretation of gene lists (2016 update)
Juri Reimand et al.
NUCLEIC ACIDS RESEARCH (2016)
GiniClust: detecting rare cell types from single-cell gene expression data with Gini index
Lan Jiang et al.
GENOME BIOLOGY (2016)
Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
Allon M. Klein et al.
CELL (2015)
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Evan Z. Macosko et al.
CELL (2015)
Single Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation
Aleksandra A. Kolodziejczyk et al.
CELL STEM CELL (2015)
Lineage-Specific Profiling Delineates the Emergence and Progression of Naive Pluripotency in Mammalian Embryogenesis
Thorsten Boroviak et al.
DEVELOPMENTAL CELL (2015)
Single-cell messenger RNA sequencing reveals rare intestinal cell types
Dominic Grun et al.
NATURE (2015)
Effect of Mutation Order on Myeloproliferative Neoplasms
Christina A. Ortmann et al.
NEW ENGLAND JOURNAL OF MEDICINE (2015)
limma powers differential expression analyses for RNA-sequencing and microarray studies
Matthew E. Ritchie et al.
NUCLEIC ACIDS RESEARCH (2015)
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Amit Zeisel et al.
SCIENCE (2015)
SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis
Minzhe Guo et al.
PLOS COMPUTATIONAL BIOLOGY (2015)
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
Dmitry Usoskin et al.
NATURE NEUROSCIENCE (2015)
Trimmomatic: a flexible trimmer for Illumina sequence data
Anthony M. Bolger et al.
BIOINFORMATICS (2014)
Cell fate inclination within 2-cell and 4-cell mouse embryos revealed by single-cell RNA sequencing
Fernando H. Blase et al.
GENOME RESEARCH (2014)
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
Barbara Treutlein et al.
NATURE (2014)
Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex
Alex A. Pollen et al.
NATURE BIOTECHNOLOGY (2014)
Normalization of RNA-seq data using factor analysis of control genes or samples
Davide Risso et al.
NATURE BIOTECHNOLOGY (2014)
Full-length RNA-seq from single cells using Smart-seq2
Simone Picelli et al.
NATURE PROTOCOLS (2014)
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Anoop P. Patel et al.
SCIENCE (2014)
Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
Qiaolin Deng et al.
SCIENCE (2014)
Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types
Diego Adhemar Jaitin et al.
SCIENCE (2014)
Single-Cell RNA Sequencing Identifies Extracellular Matrix Gene Expression by Pancreatic Circulating Tumor Cells
David T. Ting et al.
CELL REPORTS (2014)
Single-Cell RNA Sequencing Reveals T Helper Cells Synthesizing Steroids De Novo to Contribute to Immune Homeostasis
Bidesh Mahata et al.
CELL REPORTS (2014)
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Michael I. Love et al.
GENOME BIOLOGY (2014)
Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells
Liying Yan et al.
NATURE STRUCTURAL & MOLECULAR BIOLOGY (2013)
Somatic CALR Mutations in Myeloproliferative Neoplasms with Nonmutated JAK2
J. Nangalia et al.
NEW ENGLAND JOURNAL OF MEDICINE (2013)
Janus Kinase Deregulation in Leukemia and Lymphoma
Edwin Chen et al.
IMMUNITY (2012)
Resolution of Cell Fate Decisions Revealed by Single-Cell Gene Expression Analysis from Zygote to Blastocyst
Guoji Guo et al.
DEVELOPMENTAL CELL (2010)
Minimum covariance determinant
Mia Hubert et al.
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2010)
TopHat: discovering splice junctions with RNA-Seq
Cole Trapnell et al.
BIOINFORMATICS (2009)
Population structure and eigenanalysis
Nick Patterson et al.
PLOS GENETICS (2006)
ROBPCA: A new approach to robust principal component analysis
M Hubert et al.
TECHNOMETRICS (2005)
Bioconductor: open software development for computational biology and bioinformatics
RC Gentleman et al.
GENOME BIOLOGY (2004)