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2021-255 Benchmarking Computational Doublet-detection Methods For Single-cell RNA Sequencing Data

SUMMARY: UCLA researchers in the Department of Statistics have developed a software to compare existing doublet detection algorithms for Single-Cell RNA Sequencing Data. BACKGROUND: Single-cell RNA sequencing (scRNA-seq) provides the expression profiles of individual cells and is considered the gold standard for defining cell states and phenotypes...

Published: 7/19/2023 | Inventor(s):

Keywords(s): Algorithm, DNA Sequencing, Error Detection And Correction, Nucleotide, Polymorphism (Biology), RNA, RNA-Seq, Sequencing, Software, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Bioinformatics, Life Science Research Tools > Research Methods, Software & Algorithms > Programs