Genboree BCM
Help Genboree Home
(This is a recently added feature. Report issues to Genboree Admin.)
Gene expression study of cancer
Biomarker discovery from gene expression and serum MALDI-TOF data - TENTATIVE. Discovery of prognostic and predictive biomarkers from gene expression and mass spectrometry data using feature selection and unsupervised learning.

Focus paper (see also Comp Lab exercise for this week):

Expression profiles of osteosarcoma that can predict response to chemotherapy. Cancer Res. 2005 Sep 15;65(18):8142-50. PMID: 16166288 [PubMed - indexed for MEDLINE]

Other relevant papers:

Classification of sarcomas using bioinformatics and molecular profiling. Curr Pharm Biotechnol. 2007 Apr;8(2):83-91. Review. PMID: 17430156 [PubMed - indexed for MEDLINE]

Identification of a plasma proteomic signature to distinguish pediatric osteosarcoma from benign osteochondroma. Proteomics. 2006 Jun;6(11):3426-35. PMID: 16673437 [PubMed - indexed for MEDLINE]

Prof. Chris Man


Documents & Files:
Course slides, CAD 2009
File date: Fri Feb 11 2011 00:00:00



 

 


Bioinformatics Research Laboratory © 2001-2026 Baylor College of Medicine
Bioinformatics Research Laboratory
(400D Jewish Wing, MS:BCM225, 1 Baylor Plaza, Houston, TX 77030)