The advent of large-scale microbiome studies affords newfound analytical opportunities to
understand how these communities of microbes operate and relate to their environment …

Recent studies have demonstrated that gene set analysis, which tests disease association
with genetic variants in a group of functionally related genes, is a promising approach for …

We might hope that when faced with unexpected inputs, well-designed software systems
would fire off warnings. Machine learning (ML) systems, however, which depend strongly on …

Sequencing has identified millions of somatic mutations in human cancers, but
distinguishing cancer driver genes remains a major challenge. Numerous methods have …

With the proliferation of the use of chatbots across industries, business-to-business (B2B)
businesses have started using cognitive chatbots for improved customer service which …

Genome-wide association studies (GWASs) have identified many genetic variants
underlying complex traits. Many detected genetic loci harbor variants that associate with …

Resequencing is an emerging tool for identification of rare disease-associated mutations.
Rare mutations are difficult to tag with SNP genotyping, as genotyping studies are designed …

Interpretation of results that include multiple statistical tests has been an issue of great
concern for some time in the ecological literature. The basic problem is that when multiple …

In this work, we show how permutation methods can be applied to combination analyses
such as those that include multiple imaging modalities, multiple data acquisitions of the …

comb-p is a command-line tool and a python library that manipulates BED files of possibly
irregularly spaced P-values and (1) calculates auto-correlation,(2) combines adjacent P …