The ability to perform genome-wide and cross-genome data analyses can dramatically reduce the time required for new biological discoveries. This raises important issues in bioinfor...
Ruey-Lung Hsiao, Douglas Stott Parker Jr., Hung-ch...
Publicly available biological resources form a complex maze of highly heterogeneous data sources, interconnected by navigational capabilities and applications. Although it offers ...
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Unbiased metabolomic surveys are used for physiological, clinical and genomic studies to infer genotype-phenotype relationships. Long term reusability of metabolomic data needs bot...
Background: In the post-genome era, most research scientists working in the field of proteomics are confronted with difficulties in management of large volumes of data, which they...