Journal
BIOINFORMATICS
Volume 36, Issue 14, Pages 4211-4213Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa427
Keywords
-
Categories
Funding
- National Natural Science Foundation of China [61973174, 31728013]
Ask authors/readers for more resources
The Summary: We developed GDASC, a web version of our former DASC algorithm implemented with GPU. It provides a user-friendly web interface for detecting batch factors. Based on the good performance of DASC algorithm, it is able to give the most accurate results. For two steps of DASC, data-adaptive shrinkage and semi-non-negative matrix factorization, we designed parallelization strategies facing convex clustering solution and decomposition process. It runs more than 50 times faster than the original version on the representative RNA sequencing quality control dataset. With its accuracy and high speed, this server will be a useful tool for batch effects analysis.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available