Ontology highlight
ABSTRACT:
SUBMITTER: Wartmann H
PROVIDER: S-EPMC8559615 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature
Wartmann Hannes H Heins Sven S Kloiber Karin K Bonn Stefan S
GigaScience 20210901 9
<h4>Background</h4>Recent technological advances have resulted in an unprecedented increase in publicly available biomedical data, yet the reuse of the data is often precluded by experimental bias and a lack of annotation depth and consistency. Missing annotations makes it impossible for researchers to find datasets specific to their needs.<h4>Findings</h4>Here, we investigate RNA-sequencing metadata prediction based on gene expression values. We present a deep-learning-based domain adaptation a ...[more]