Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
出版年份 2018 全文链接
标题
Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
作者
关键词
-
出版物
Nature Communications
Volume 9, Issue 1, Pages -
出版商
Springer Nature
发表日期
2018-05-15
DOI
10.1038/s41467-018-04368-5
参考文献
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。- Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding
- (2018) Alexander B. Rosenberg et al. SCIENCE
- Comparative Analysis of Single-Cell RNA Sequencing Methods
- (2017) Christoph Ziegenhain et al. MOLECULAR CELL
- SCnorm: robust normalization of single-cell RNA-seq data
- (2017) Rhonda Bacher et al. NATURE METHODS
- Normalizing single-cell RNA sequencing data: challenges and opportunities
- (2017) Catalina A Vallejos et al. NATURE METHODS
- Power analysis of single-cell RNA-sequencing experiments
- (2017) Valentine Svensson et al. NATURE METHODS
- Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
- (2017) Bo Wang et al. NATURE METHODS
- Single-cell mRNA quantification and differential analysis with Census
- (2017) Xiaojie Qiu et al. NATURE METHODS
- Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput
- (2017) Todd M Gierahn et al. NATURE METHODS
- Comprehensive single-cell transcriptional profiling of a multicellular organism
- (2017) Junyue Cao et al. SCIENCE
- The Human Cell Atlas
- (2017) Aviv Regev et al. eLife
- densityCut: an efficient and versatile topological approach for automatic clustering of biological data
- (2016) Jiarui Ding et al. BIOINFORMATICS
- pcaReduce: hierarchical clustering of single cell transcriptional profiles
- (2016) Justina žurauskienė et al. BMC BIOINFORMATICS
- FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data
- (2016) David DeTomaso et al. BMC BIOINFORMATICS
- Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
- (2016) Karthik Shekhar et al. CELL
- Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma
- (2016) Itay Tirosh et al. NATURE
- Revealing the vectors of cellular identity with single-cell genomics
- (2016) Allon Wagner et al. NATURE BIOTECHNOLOGY
- Wishbone identifies bifurcating developmental trajectories from single-cell data
- (2016) Manu Setty et al. NATURE BIOTECHNOLOGY
- Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
- (2016) I. Tirosh et al. SCIENCE
- destiny: diffusion maps for large-scale single-cell data in R
- (2015) Philipp Angerer et al. BIOINFORMATICS
- Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
- (2015) Allon M. Klein et al. CELL
- Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
- (2015) Jacob H. Levine et al. CELL
- Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
- (2015) Evan Z. Macosko et al. CELL
- Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
- (2015) Florian Buettner et al. NATURE BIOTECHNOLOGY
- G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
- (2015) Iain C Macaulay et al. NATURE METHODS
- Computational and analytical challenges in single-cell transcriptomics
- (2015) Oliver Stegle et al. NATURE REVIEWS GENETICS
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Full-length RNA-seq from single cells using Smart-seq2
- (2014) Simone Picelli et al. Nature Protocols
- Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
- (2014) A. P. Patel et al. SCIENCE
- Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types
- (2014) D. A. Jaitin et al. SCIENCE
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- (2013) El-ad David Amir et al. NATURE BIOTECHNOLOGY
- Quantitative single-cell RNA-seq with unique molecular identifiers
- (2013) Saiful Islam et al. NATURE METHODS
- Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples
- (2012) Günter P. Wagner et al. THEORY IN BIOSCIENCES
- Tumour evolution inferred by single-cell sequencing
- (2011) Nicholas Navin et al. NATURE
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- (2011) S. C. Bendall et al. SCIENCE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now