158 search results - page 9 / 32 » Predicting cancer involvement of genes from heterogeneous da... |
CSB
2005
IEEE
14 years 2 months ago
2005
IEEE
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 ...
JBI
2002
13 years 8 months ago
2002
Rapid advances in genome sequencing and gene expression microarray technologies are providing unprecedented opportunities to identify specific genes involved in complex biological...
ICMLA
2008
13 years 10 months ago
2008
Accurate prediction of survival rates of cancer patients is often key to stratify patients for prognosis and treatment. Survival prediction is often accomplished by the TNM system...
GCB
2010
Springer
13 years 6 months ago
2010
Springer
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
BIBM
2008
IEEE
14 years 3 months ago
2008
IEEE
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...