scAnno: a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets
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Title
scAnno: a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets
Authors
Keywords
-
Journal
BRIEFINGS IN BIOINFORMATICS
Volume 24, Issue 3, Pages -
Publisher
Oxford University Press (OUP)
Online
2023-05-15
DOI
10.1093/bib/bbad179
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Note: Only part of the references are listed.- A single-cell atlas of the multicellular ecosystem of primary and metastatic hepatocellular carcinoma
- (2022) Yiming Lu et al. Nature Communications
- Automated methods for cell type annotation on scRNA-seq data
- (2021) Giovanni Pasquini et al. Computational and Structural Biotechnology Journal
- Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics
- (2021) Christoph Muus et al. NATURE MEDICINE
- Critical downstream analysis steps for single-cell RNA sequencing data
- (2021) Zilong Zhang et al. BRIEFINGS IN BIOINFORMATICS
- scMAGIC: accurately annotating single cells using two rounds of reference-based classification
- (2021) Yu Zhang et al. NUCLEIC ACIDS RESEARCH
- Construction of a human cell landscape at single-cell level
- (2020) Xiaoping Han et al. NATURE
- SciBet as a portable and fast single cell type identifier
- (2020) Chenwei Li et al. Nature Communications
- Single-cell transcriptomics reveals regulators underlying immune cell diversity and immune subtypes associated with prognosis in nasopharyngeal carcinoma
- (2020) Yu-Pei Chen et al. CELL RESEARCH
- scClassify: sample size estimation and multiscale classification of cells using single and multiple reference
- (2020) Yingxin Lin et al. Molecular Systems Biology
- A deconvolution method and its application in analyzing the cellular fractions in acute myeloid leukemia samples
- (2020) Huamei Li et al. BMC GENOMICS
- Single-cell landscape of the ecosystem in early-relapse hepatocellular carcinoma
- (2020) Yunfan Sun et al. CELL
- Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage
- (2019) Dvir Aran et al. NATURE IMMUNOLOGY
- Challenges in unsupervised clustering of single-cell RNA-seq data
- (2019) Vladimir Yu Kiselev et al. NATURE REVIEWS GENETICS
- SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles
- (2019) Peng Xie et al. NUCLEIC ACIDS RESEARCH
- scMatch: a single-cell gene expression profile annotation tool using reference datasets
- (2019) Rui Hou et al. BIOINFORMATICS
- Comprehensive Integration of Single-Cell Data
- (2019) Tim Stuart et al. CELL
- Current best practices in single‐cell RNA‐seq analysis: a tutorial
- (2019) Malte D Luecken et al. Molecular Systems Biology
- A human liver cell atlas reveals heterogeneity and epithelial progenitors
- (2019) Nadim Aizarani et al. NATURE
- CHETAH: a selective, hierarchical cell type identification method for single-cell RNA sequencing
- (2019) Jurrian K de Kanter et al. NUCLEIC ACIDS RESEARCH
- SCINA: Semi-Supervised Analysis of Single Cells in Silico
- (2019) Zhang et al. Genes
- Supervised classification enables rapid annotation of cell atlases
- (2019) Hannah A. Pliner et al. NATURE METHODS
- Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling
- (2019) Allen W. Zhang et al. NATURE METHODS
- Resolving the fibrotic niche of human liver cirrhosis at single-cell level
- (2019) P. Ramachandran et al. NATURE
- Mapping the Mouse Cell Atlas by Microwell-Seq
- (2018) Xiaoping Han et al. CELL
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- (2018) Andrew Butler et al. NATURE BIOTECHNOLOGY
- scmap: projection of single-cell RNA-seq data across data sets
- (2018) Vladimir Yu Kiselev et al. NATURE METHODS
- OUP accepted manuscript
- (2018) NUCLEIC ACIDS RESEARCH
- Lineage tracking reveals dynamic relationships of T cells in colorectal cancer
- (2018) Lei Zhang et al. NATURE
- Dimensionality reduction for visualizing single-cell data using UMAP
- (2018) Etienne Becht et al. NATURE BIOTECHNOLOGY
- Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations
- (2018) Sonya A. MacParland et al. Nature Communications
- Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors
- (2017) Huipeng Li et al. NATURE GENETICS
- The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery
- (2016) Hendrik G. Stunnenberg et al. CELL
- Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain
- (2016) B. B. Lake et al. SCIENCE
- Differences and similarities between human and chimpanzee neural progenitors during cerebral cortex development
- (2016) Felipe Mora-Bermúdez et al. eLife
- 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
- Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells
- (2015) Allon M. Klein et al. CELL
- Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments
- (2015) Ning Leng et al. NATURE METHODS
- Human cerebral organoids recapitulate gene expression programs of fetal neocortex development
- (2015) J. Gray Camp et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- CellNet: Network Biology Applied to Stem Cell Engineering
- (2014) Patrick Cahan et al. CELL
- An expression atlas of human primary cells: inference of gene function from coexpression networks
- (2013) Neil A Mabbott et al. BMC GENOMICS
- clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
- (2012) Guangchuang Yu et al. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
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