Because most potential molecular markers and targets are proteins, proteomic profiling is
expected to yield more direct answers to functional and pharmacological questions than …

Patient‐specific, disease‐course predictions with> 95% or> 99% accuracy during therapy
would be highly valuable for everyday medicine. If these predictors were available, disease …

Given the layered, evolutionary complexity of biological systems, it will not be possible to
understand them comprehensively on the basis of hypothesis-driven research alone …

Sixty cancer cell lines have been extensively characterized and used by the National
Cancer Institute's Developmental Therapeutics Program (NCI-60) since the early 90's as …

This article reviews important emerging statistical concepts, data mining techniques, and
applications that have been recently developed and used for genomic data analysis. First …

Automatically extracting protein names from the literature and linking these names to the
associated entries in sequence databases is becoming increasingly important for annotating …

Predictive medicine by cytomics represents a new concept which provides disease course
predictions for individual patients. The predictive information is derived from the molecular …

Recent advances in molecular biology and technology have made it possible to monitor the
expression levels of virtually all genes simultaneously. As the tools for gene expression …

This paper presents a novel hybrid machine learning (ML) reduction approach to enhance
cancer classification accuracy of microarray data based on two ML gene ranking techniques …

Nutritional genomics, also referred to as nutrigenomics, is considered one of the next
frontiers in the post-genomic era. This book features the latest research on the role of …