Ontology highlight
ABSTRACT:
SUBMITTER: McCurdy SR
PROVIDER: S-EPMC6347249 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
McCurdy Shannon R SR McCurdy Shannon R SR Ntranos Vasilis V Pachter Lior L
PloS one 20190125 1
Analysis of single-cell RNA sequencing (scRNA-Seq) data often involves filtering out uninteresting or poorly measured genes and dimensionality reduction to reduce noise and simplify data visualization. However, techniques such as principal components analysis (PCA) fail to preserve non-negativity and sparsity structures present in the original matrices, and the coordinates of projected cells are not easily interpretable. Commonly used thresholding methods to filter genes avoid those pitfalls, bu ...[more]