Combinatorial prediction of marker panels from single‐cell transcriptomic data
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Combinatorial prediction of marker panels from single‐cell transcriptomic data
Authors
Keywords
-
Journal
Molecular Systems Biology
Volume 15, Issue 10, Pages -
Publisher
EMBO
Online
2019-10-24
DOI
10.15252/msb.20199005
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Checkpoint Blockade Immunotherapy Induces Dynamic Changes in PD-1−CD8+ Tumor-Infiltrating T Cells
- (2019) Sema Kurtulus et al. IMMUNITY
- Two distinct colonic CD14+ subsets characterized by single-cell RNA profiling in Crohn’s disease
- (2019) Laurence Chapuy et al. Mucosal Immunology
- A discriminative learning approach to differential expression analysis for single-cell RNA-seq
- (2019) Vasilis Ntranos et al. NATURE METHODS
- Current best practices in single‐cell RNA‐seq analysis: a tutorial
- (2019) Malte D Luecken et al. Molecular Systems Biology
- Distinct immunocyte-promoting and adipocyte-generating stromal components coordinate adipose tissue immune and metabolic tenors
- (2019) Raul German Spallanzani et al. Science Immunology
- Mapping the Mouse Cell Atlas by Microwell-Seq
- (2018) Xiaoping Han et al. CELL
- A Single-Cell Transcriptomic Atlas of Thymus Organogenesis Resolves Cell Types and Developmental Maturation
- (2018) Eric M. Kernfeld et al. IMMUNITY
- Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq
- (2018) Mariella G. Filbin et al. SCIENCE
- Induction and transcriptional regulation of the co-inhibitory gene module in T cells
- (2018) Norio Chihara et al. NATURE
- A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade
- (2018) Livnat Jerby-Arnon et al. CELL
- Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
- (2018) et al. NATURE
- Single-cell reconstruction of the early maternal–fetal interface in humans
- (2018) Roser Vento-Tormo et al. NATURE
- Single cell RNA-seq and ATAC-seq analysis of cardiac progenitor cell transition states and lineage settlement
- (2018) Guangshuai Jia et al. Nature Communications
- Simultaneous epitope and transcriptome measurement in single cells
- (2017) Marlon Stoeckius et al. NATURE METHODS
- Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
- (2017) Alexandra-Chloé Villani et al. SCIENCE
- The Human Cell Atlas
- (2017) Aviv Regev et al. eLife
- A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells
- (2016) Meromit Singer et al. CELL
- Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
- (2016) Karthik Shekhar et al. CELL
- A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure
- (2016) Maayan Baron et al. Cell Systems
- Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors
- (2015) Franziska Paul et al. CELL
- Spatial reconstruction of single-cell gene expression data
- (2015) Rahul Satija et al. NATURE BIOTECHNOLOGY
- Tissue-based map of the human proteome
- (2015) M. Uhlen et al. SCIENCE
- GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge
- (2015) Florian Wagner PLoS One
- Validation of noise models for single-cell transcriptomics
- (2014) Dominic Grün et al. NATURE METHODS
- Inferring Regulatory Networks from Expression Data Using Tree-Based Methods
- (2010) Vân Anh Huynh-Thu et al. PLoS One
- Stability and aggregation of ranked gene lists
- (2009) A.-L. Boulesteix et al. BRIEFINGS IN BIOINFORMATICS
- Peripheral B cell subsets
- (2008) David Allman et al. CURRENT OPINION IN IMMUNOLOGY
Publish 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 MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started