Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...
Background: Millions of single nucleotide polymorphisms have been identified as a result of the human genome project and the rapid advance of high throughput genotyping technology...
Wei Yu, Anja Wulf, Tiebin Liu, Muin J. Khoury, Mar...
Background: Graphs and networks are common analysis representations for biological systems. Many traditional graph algorithms such as k-clique, k-coloring, and subgraph matching h...
Background: Microarrays are becoming a very popular tool for microbial detection and diagnostics. Although these diagnostic arrays are much simpler when compared to the traditiona...
High-throughput proteome annotation refers to the activity of extracting information from all proteins in a particular organism using bioinformatics software on a high performance ...
Atif Shahab, Danny Chuon, Toyotaro Suzumura, Wilfr...