Machine learning and statistical methods for clustering single-cell RNA-sequencing data

R Petegrosso, Z Li, R Kuang - Briefings in bioinformatics, 2020 - academic.oup.com
Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-
transcriptome profiling of each individual single cell in a cell population. A core analysis of …
被引用次数：220 相关文章
[PDF] umn.edu

[PDF][PDF] Machine Learning and Statistical Methods for Clustering Single-cell RNA-sequencing Data

R Petegrosso, Z Li, R Kuang - 2017 - compbio.cs.umn.edu
Single-cell RNA-sequencing (scRNA-seq) technologies have enabled the large-scale whole-
transcriptome profiling of each individual single cell in a cell population. A core analysis of …

Machine learning and statistical methods for clustering single-cell RNA-sequencing data.

R Petegrosso, Z Li, R Kuang - Briefings in Bioinformatics, 2020 - search.ebscohost.com
Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-
transcriptome profiling of each individual single cell in a cell population. A core analysis of …

Machine learning and statistical methods for clustering single-cell RNA-sequencing data

R Petegrosso, Z Li, R Kuang - Briefings in Bioinformatics, 2020 - academic.oup.com
Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-
transcriptome profiling of each individual single cell in a cell population. A core analysis of …

Machine learning and statistical methods for clustering single-cell RNA-sequencing data

R Petegrosso, Z Li, R Kuang - Briefings in bioinformatics, 2020 - pubmed.ncbi.nlm.nih.gov
Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-
transcriptome profiling of each individual single cell in a cell population. A core analysis of …

Machine learning and statistical methods for clustering single-cell RNA-sequencing data

R Petegrosso, Z Li, R Kuang - Briefings in Bioinformatics, 2019 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: sec>< jats: title></jats: title>< jats: p> Single-cell
RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole …

Machine learning and statistical methods for clustering single-cell RNA-sequencing data.

R Petegrosso, Z Li, R Kuang - Briefings in Bioinformatics, 2020 - europepmc.org
Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-
transcriptome profiling of each individual single cell in a cell population. A core analysis of …

Machine learning and statistical methods for clustering single-cell RNA-sequencing data

R Petegrosso, Z Li, R Kuang - Briefings in Bioinformatics, 2019 - experts.umn.edu
Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-
transcriptome profiling of each individual single cell in a cell population. A core analysis of …