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| Status |
Public on Jul 19, 2021 |
| Title |
MultiK: An Automated Tool to Infer Optimal Cluster Numbers in Single-Cell RNA Sequencing Data |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
This paper proposes MultiK, a data-driven tool for objective selection of multiple insightful numbers of clusters (K) from single-cell RNA-seq data.
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| Overall design |
MultiK combines multiple clustering resolution solutions together through a consensus approach, and is capable of identifying robust and reproducible groups across multiple datasets.
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| Contributor(s) |
Perou CM, Thennavan A |
| Citation(s) |
34412669 |
| |
| Submission date |
Jan 22, 2021 |
| Last update date |
Aug 31, 2021 |
| Contact name |
Charles M. Perou |
| E-mail(s) |
cperou@med.unc.edu
|
| Organization name |
University of North Carolina at Chapel Hill
|
| Department |
Professor of Genetics, and Pathology & Laboratory Medicine; Lineberger Comprehensive Cancer Center
|
| Street address |
12-044 Lineberger Comprehensive Cancer Center CB# 7295
|
| City |
Chapel Hill |
| State/province |
NC |
| ZIP/Postal code |
27599-7264 |
| Country |
USA |
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| Platforms (1) |
| GPL19057 |
Illumina NextSeq 500 (Mus musculus) |
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| Samples (1) |
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| Relations |
| BioProject |
PRJNA694120 |
| SRA |
SRP302889 |
