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» A Clustering-Based Approach to Predict Outcome in Cancer Pat...
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BMCBI
2008
128views more  BMCBI 2008»
13 years 7 months ago
Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate reg
Background: Gene expression measurements from breast cancer (BrCa) tumors are established clinical predictive tools to identify tumor subtypes, identify patients showing poor/good...
David D. Smith, Pål Sætrom, Ola R. Sn&...
BMCBI
2010
95views more  BMCBI 2010»
13 years 7 months ago
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasets
Background: Theme-driven cancer survival studies address whether the expression signature of genes related to a biological process can predict patient survival time. Although this...
Esteban Czwan, Benedikt Brors, David Kipling
EVOW
2006
Springer
13 years 11 months ago
Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines
Infection by the human papillomavirus (HPV) is associated with the development of cervical cancer. HPV can be classified to highand low-risk type according to its malignant potenti...
Sun Kim, Byoung-Tak Zhang
BMCBI
2010
84views more  BMCBI 2010»
13 years 7 months ago
Testing the additional predictive value of high-dimensional molecular data
Background: While high-dimensional molecular data such as microarray gene expression data have been used for disease outcome prediction or diagnosis purposes for about ten years i...
Anne-Laure Boulesteix, Torsten Hothorn
CEC
2010
IEEE
13 years 8 months ago
Accelerated optimisation of chemotherapy dose schedules using fitness inheritance
Abstract-- Cancer treatment by chemotherapy involves multiple applications of toxic drugs over a period of time. Optimising the schedule of these treatments can improve the outcome...
Robert Barbour, David W. Corne, John A. W. McCall