Protocol for executing and benchmarking eight computational doublet-detection methods in single-cell RNA sequencing data analysis is a research paper published in STAR Protocols (2021). On theSindex it has a DataRank of 0. It has been cited 4 times.
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National Institutes of Health
Grant: 1R35GM140888-01
Statistical methods for elucidating regulatory mechanisms and functional impacts of transcriptome variation at population and single-cell scales
National Institutes of Health
Grant: 1F32GM013039-01
MOLECULAR ANALYSIS OF THE YEAST HEAT SHOCK TRANSCRIPTION
National Science Foundation
Grant: 2113754
Collaborative Research: Development of Classification Theory and Methods for Objective Asymmetry, Sample Size Limitation, Labeling Ambiguity, and Feature Importance
National Science Foundation
Grant: 1846216
CAREER: Advancing the Bioinformatic Infrastructure and Methodology for Single-cell RNA Sequencing
National Institutes of Health
Grant: 5R01GM120507-04
Robust Identification and accurate quantification of RNA transcripts on a system wide scale
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Sustainable Development Goals
Protocol for Executing and Benchmarking Eight Computational Doublet-Detection Methods in Single-Cell RNA Sequencing Data Analysis