Here, we propose an unsupervised approach, SCMER (Single-Cell Manifold presERving feature selection), which selects a compact set of molecular features with ...
Missing: Publisher Correction:
Jun 1, 2021 · ... Correction: Single-cell manifold-preserving feature selection for detecting rare cell populations. Download PDF · Download PDF. Publisher ...
Publisher Correction: Single-cell manifold-preserving feature selection for detecting rare cell populations. Nat Comput Sci. 2021 Jun;1(6):448. doi: 10.1038 ...
Dive into the research topics of 'Publisher Correction: Single-cell manifold-preserving feature selection for detecting rare cell populations (Nature ...
We apply SCMER in the context of hematopoiesis, lymphogenesis, tumorigenesis and drug resistance and response. We find that SCMER can identify non-redundant ...
Jun 1, 2021 · A key challenge in studying organisms and diseases is to detect rare molecular programs and rare cell populations (RCPs) that drive development, ...
Publisher Correction: Single-cell manifold-preserving feature selection for detecting rare cell populations. Publisher URL: http://feeds.nature.com/~r ...
Wegmann, R. et al. CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data. Genome Biol. 20, 142 (2019) ...
Missing: Correction: | Show results with:Correction:
SCMER is a feature selection method designed for single-cell data analysis. It selects a compact sets of markers that preserve the manifold of the original ...
Dec 2, 2020 · identified features representing major cell types, rare cell populations (RCPs), continuous cell states, and multicellular programs. In our ...
Missing: Publisher | Show results with:Publisher