Bioinformatics Journal Issues 18 Research Articles in April 15, 2019 Edition
LEESBURG, Virginia, April 24 -- Bioinformatics, a journal from the International Society for Computational Biology, published 18 research articles on the following topics in its April 15, 2019 edition:
* A Bayesian framework for high-throughput T cell receptor pairing
* A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS
* bcGST--an interactive bias-correction method to identify over-represented gene-sets in boutique arr . . .
* A Bayesian framework for high-throughput T cell receptor pairing
* A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS
* bcGST--an interactive bias-correction method to identify over-represented gene-sets in boutique arr . . .