Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2019-02-15
DOI
10.1093/bioinformatics/btz095
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Single-cell transcriptomics uncovers distinct molecular signatures of stem cells in chronic myeloid leukemia
- (2017) Alice Giustacchini et al. NATURE MEDICINE
- Scalable whole-genome single-cell library preparation without preamplification
- (2017) Hans Zahn 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
- Network embedding-based representation learning for single cell RNA-seq data
- (2017) Xiangyu Li et al. NUCLEIC ACIDS RESEARCH
- Using neural networks for reducing the dimensions of single-cell RNA-Seq data
- (2017) Chieh Lin et al. NUCLEIC ACIDS RESEARCH
- Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq
- (2017) Andrew S. Venteicher et al. SCIENCE
- FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data
- (2016) David DeTomaso et al. BMC BIOINFORMATICS
- Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma
- (2016) Itay Tirosh et al. NATURE
- Wishbone identifies bifurcating developmental trajectories from single-cell data
- (2016) Manu Setty et al. NATURE BIOTECHNOLOGY
- Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis
- (2016) Jean Fan et al. NATURE METHODS
- Single-cell genome sequencing: current state of the science
- (2016) Charles Gawad et al. NATURE REVIEWS GENETICS
- Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
- (2016) I. Tirosh et al. SCIENCE
- Identification of cell types from single-cell transcriptomes using a novel clustering method
- (2015) Chen Xu et al. BIOINFORMATICS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Pan-cancer analysis of the extent and consequences of intratumor heterogeneity
- (2015) Noemi Andor et al. NATURE MEDICINE
- Identification of Distinct Tumor Subpopulations in Lung Adenocarcinoma via Single-Cell RNA-seq
- (2015) Jae-Woong Min et al. PLoS One
- Characterizing WW Domain Interactions of Tumor Suppressor WWOX Reveals Its Association with Multiprotein Networks
- (2014) Mohammad Abu-Odeh et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
- (2014) A. P. Patel et al. SCIENCE
- Spatial and temporal diversity in genomic instability processes defines lung cancer evolution
- (2014) E. C. de Bruin et al. SCIENCE
- The TRK-Fused Gene Is Mutated in Hereditary Motor and Sensory Neuropathy with Proximal Dominant Involvement
- (2012) Hiroyuki Ishiura et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Genome-Wide Detection of Single-Nucleotide and Copy-Number Variations of a Single Human Cell
- (2012) C. Zong et al. SCIENCE
- Insight into the heterogeneity of breast cancer through next-generation sequencing
- (2011) Hege G. Russnes et al. JOURNAL OF CLINICAL INVESTIGATION
- Clinical proteomics identified ATP-dependent RNA helicase DDX39 as a novel biomarker to predict poor prognosis of patients with gastrointestinal stromal tumor
- (2011) Kazutaka Kikuta et al. Journal of Proteomics
- RGMA and IL21R show association with experimental inflammation and multiple sclerosis
- (2010) R Nohra et al. GENES AND IMMUNITY
- Tracing the tumor lineage
- (2010) Nicholas E. Navin et al. Molecular Oncology
- Extraribosomal function of metallopanstimulin-1: reducing paxillin in head and neck squamous cell carcinoma and inhibiting tumor growth
- (2009) Yuemeng Dai et al. INTERNATIONAL JOURNAL OF CANCER
- Gene polymorphisms related to angiogenesis, inflammation and thrombosis that influence risk for oral cancer
- (2008) E. Vairaktaris et al. ORAL ONCOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More