Sciweavers

158 search results - page 6 / 32
» Predicting cancer involvement of genes from heterogeneous da...
Sort
View
BMCBI
2010
126views more  BMCBI 2010»
13 years 6 months ago
PETALS: Proteomic Evaluation and Topological Analysis of a mutated Locus' Signaling
Background: Colon cancer is driven by mutations in a number of genes, the most notorious of which is Apc. Though much of Apc's signaling has been mechanistically identified o...
Gürkan Bebek, Vishal Patel, Mark R. Chance
IEAAIE
2010
Springer
13 years 6 months ago
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles
Abstract. Gene expression profiling strategies have attracted considerable interest from biologist due to the potential for high throughput analysis of hundreds of thousands of gen...
Daniel Urda, José Luis Subirats, Leonardo F...
BMCBI
2006
186views more  BMCBI 2006»
13 years 8 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
BMCBI
2008
85views more  BMCBI 2008»
13 years 9 months ago
Merging microarray data from separate breast cancer studies provides a robust prognostic test
Background: There is an urgent need for new prognostic markers of breast cancer metastases to ensure that newly diagnosed patients receive appropriate therapy. Recent studies have...
Lei Xu, Aik Choon Tan, Raimond L. Winslow, Donald ...
BMCBI
2010
97views more  BMCBI 2010»
13 years 9 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...