Handbook of life course health development Neal Halfon· Christopher B. Forrest Richard M.
Lerner· Elaine M. Faustman Editors Handbook of Life Course Health Development Page 2 …

At different stages of any research project, molecular biologists need to choose—often
somewhat arbitrarily, even after careful statistical data analysis—which genes or proteins to …

Complete knowledge of all direct and indirect interactions between proteins in a given cell
would represent an important milestone towards a comprehensive description of cellular …

Motivation: Most existing methods for predicting causal disease genes rely on specific type
of evidence, and are therefore limited in terms of applicability. More often than not, the type …

Genomic studies and high-throughput experiments often produce large lists of candidate
genes among which only a small fraction are truly relevant to the disease, phenotype or …

Background Accurately predicting pathogenic human genes has been challenging in recent
research. Considering extensive gene–disease data verified by biological experiments, we …

The advent of genome-scale genetic and genomic studies allows new insight into disease
classification. Recently, a shift was made from linking diseases simply based on their shared …

Modern high-throughput experiments provide us with numerous potential associations
between genes and diseases. Experimental validation of all the discovered associations, let …

Low drug productivity has been a significant problem of the pharmaceutical industry for
several decades even though numerous novel technologies were introduced during this …

Disease gene prediction is a challenging task that has a variety of applications such as early
diagnosis and drug development. The existing machine learning methods suffer from the …