Bayesian networks (BNs) provide a neat and compact representation for expressing joint
probability distributions (JPDs) and for inference. They are becoming increasingly important in …

Bayesian networks are increasingly important for integrating biological data and for inferring
cellular networks and pathways. What are Bayesian networks and how are they used for …

Motivation: Structural genomics projects are beginning to produce protein structures with
unknown function, therefore, accurate, automated predictors of protein function are required if …

I. HISTORY. Until the year 1871 itwas almost universally taught by physiologists that the
pulmonary vessels did not possess any vaso-motor system. In that year Brown-Sequardl …

Background RNA-Seq exploits the rapid generation of gigabases of sequence data by
Massively Parallel Nucleotide Sequencing, allowing for the mapping and digital quantification of …

The Arabidopsis Co-expression Tool, ACT, ranks the genes across a large microarray
dataset according to how closely their expression follows the expression of a query gene. A …

Identifying the interface between two interacting proteins provides important clues to the
function of a protein, and is becoming increasing relevant to drug discovery. Here, surface patch …

… arrested by torsion or ligature, the wound is packed with cotton wool, the kidney is then
placed in the oncometer, and the cannula in the carotid connected with the mercurial 1 Bradford …

The transcriptional repressor B lymphocyte-induced maturation protein-1 (BLIMP1) regulates
gene expression and cell fate. The DNA motif bound by BLIMP1 in vitro overlaps with that …

The tumor microenvironment is emerging as a key regulator of cancer growth and progression,
however the exact mechanisms of interaction with the tumor are poorly understood. …