Background: The increasing availability of molecular sequence data means that the accuracy of future phylogenetic studies is likely to by limited by systematic bias and taxon choi...
Martin O. Jones, Georgios D. Koutsovoulos, Mark L....
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Universities and Institutions these days’ deals with issues related to with assessment of large number of students. Various evaluation methods have been adopted by examiners in ...
Ahmed Barnawi, Abdurrahman H. Al-Talhi, M. Rizwan ...
Background: Microarray technologies have evolved rapidly, enabling biologists to quantify genome-wide levels of gene expression, alternative splicing, and sequence variations for ...
Nathan Salomonis, Kristina Hanspers, Alexander C. ...
Background: There has been considerable effort focused on developing efficient programs for tagging single-nucleotide polymorphisms (SNPs). Many of these programs do not account f...
Christopher K. Edlund, Won H. Lee, Dalin Li, David...