Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
Eric G. Stephan, Kyle R. Klicker, Mudita Singhal, ...
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Ascertaining the similarity amongst molecules is a fundamental problem in biology and drug discovery. Since similar molecules tend to have similar biological properties, the notio...
Finding motifs in biological sequences is one of the most intriguing problems for string algorithms designers due to, on the one hand, the numerous applications of this problem in...
Background: Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale rese...
Daniel Rios, William M. McLaren, Yuan Chen, Ewan B...