Abstract: Fitting overdispersed count data accurately and efficiently is instrumental for statistical modeling. Failing to capture the overdispersed nature of data ...

Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, United States Department of Applied Mathematics, University of Washington, Seattle, United States Howard ...

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...

Short Message Service (SMS) spam poses significant risks, including financial scams and phishing attempts. Although numerous datasets from online repositories have been utilized to address this issue, ...

This study provides important new insights into the contribution of local DNA features to the molecular mechanisms and dynamics of copy number variation (CNV) formation during adaptive evolution.

MSIsensor-pro is an updated version of msisensor. MSIsensor-pro evaluates Microsatellite Instability (MSI) for cancer patients with next generation sequencing data. It accepts the whole genome ...

Abstract: Presence of code smells complicate the source code and can obstruct the development and functionality of the software project. As they represent improper behavior that might have an adverse ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...

Single-cell RNA sequencing provides high-throughput gene expression information to explore cellular heterogeneity at the individual cell level. A major challenge in characterizing high-throughput gene ...

The official code repo! This repo contains code for training, inference, and scoring of TransFusion ASR models from our paper, "TransFusion: Transcribing Speech with Multinomial Diffusion". The ...