Ontology highlight
ABSTRACT:
SUBMITTER: Li H
PROVIDER: S-EPMC8990021 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature
Li Hui H Brouwer Cory R CR Luo Weijun W
Nature communications 20220407 1
Single cell RNA sequencing (scRNA-Seq) is being widely used in biomedical research and generated enormous volume and diversity of data. The raw data contain multiple types of noise and technical artifacts, which need thorough cleaning. Existing denoising and imputation methods largely focus on a single type of noise (i.e., dropouts) and have strong distribution assumptions which greatly limit their performance and application. Here we design and develop the AutoClass model, integrating two deep ...[more]