Health Care Management is one of the most important and most important research areas of the new millennium. The main purpose of this work was to analyze the data on malaria patie...
Dinesh P. Mital, Shankar Srinivasan, Syed Haque, R...
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Oligonucleotide fingerprinting is an array-based approach used for analysis of microbial community composition and gene expression profiling. Oligonucleotide fingerprinting of rib...
Katechan Jampachaisri, Lea Valinsky, James Bornema...