Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
Larry T. H. Yu, Fu-Lai Chung, Stephen Chi-fai Chan...
Automatically mining protein pathway information from the vast amount of published literature has been an increasing need from the pharmaceutical industry and biomedical research ...
Here we investigate an extension of a previously suggested "automatic amide I frequency selection procedure" where we introduce an additional criterion utilizing empiric...
Joachim A. Hering, Peter R. Innocent, Parvez I. Ha...
This paper presents an efficient computational method to identify a local symmetry axis in 3-dimensional viral structures obtained using electron cryomicroscopy. Local symmetry is...
The conserved sequences in gene regulatory regions dominate gene regulation. Discovering these sequences and their functions is important in post genome era. A novel model is cons...
Xiaoming Wu, Bo Wang, Changxin Song, Jingzhi Cheng
Boolean models of genetic regulatory networks (GRNs) have been shown to exhibit many of the characteristic dynamics of real GRNs, with gene expression patterns settling to point a...
The application of Fourier analysis to a genome can be used as an indicator of gene coding regions. We have developed a visualisation of the Fourier spectra that allows convenient...
Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization is needed for ...
THEMATICS (Theoretical Microscopic Titration Curves) is a simple, reliable computational predictor of the active sites of enzymes from structure. Our method, based on well-establi...
Ihsan A. Shehadi, Alper Uzun, Leonel F. Murga, Val...
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...