Published in PNAS

Mike’s PNAS article

Mike has been hard at work this summer and has recently published a paper in the ever-glossy Proceedings of the National Academy of Sciences (PNAS). Titled “A hierarchical Bayesian mixture model for inferring the expression state of genes in transcriptomes,” the paper explores transcriptomes — the set of genes expressed in any given tissue, and the key to understanding the relationship between genotype and phenotype.

Along with his coauthors, Mike has developed a Bayesian mixture model that describes the biological processes that give rise to transcriptomes. As the paper states, this will allow researchers to obtain the expression state of genes from replicate transcriptomic datasets.

Congratulations, Mike, on this big accomplishment!

This figure from Mike’s paper shows that the human striatum is more different from the primate striatum, compared to other brain regions.




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