Best Presentation
Conference Fees
Preconference Seminar
Keynote Speakers
Call for Papers
Call for Posters
Contest Datasets
Scientific Committee
See and Do
CAMDA 2006 Conference Papers

Navigation: wednesday thursday friday posters

Wednesday, June 7, 2006

Preconference seminar: Richard Simon
Chief, Biometric Research Branch
National Cancer Institute
Rockville, MD

Thursday, June 8, 2006

Keynote speaker: William Reeves
Chief Viral Exanthems and Herpesvirus Branch
Center for Disease Control
Atlanta, GA, USA
A Systems Genetic Analysis of Chronic Fatigue Syndrome: Combinatorial Data Integration From SNPs to Differential Diagnosis of Disease.
Roumyana Kirova
Mining of Microarray, Proteomics, and Clinical Data for Improved Identification of Chronic Fatigue Syndrome
Zoran Obradovic
Integration of clinical, SNP, and microarray gene expression measurements in prediction of chronic fatigue syndrome
Sooyeol Lim
Bayesian joint disease-marker-expression analysis applied to clinical characteristics of chronic fatigue syndrome
Madhuchhanda Bhattacharjee
Integration of Expression Data and Genotype Data: Application of Chronic Fatigue Syndrome Data
E.J. Lee
Integration of Genetic and Genomic Approaches for the Analysis of Chronic Fatigue Syndrome Implicates Forkhead Box N1
Anja Presson

Friday, June 9, 2006

Keynote speaker: Christoph Borchers
Department of Biochemistry and Biophysics
University of North Carolina
Chapel Hill, NC, USA
CAMDA 2006 Validation
Suzanne D. Vernon
QA/QC of Clinical SELDI-TOF Data with Wavelets
Simon Lin
Serum Diagnosis of Chronic Fatigue Syndrome Using Array-based Proteomics
Pingzhao Hu
CAMDA 2007 and beyond
Joaquin Dopazo
Detecting Pathological Pathways of the Chronic Fatigue Syndrome by the Comparison of Networks
Frank Emmert-Streib
An Attempt to Categorize the Severity of the Chronic Fatigue Syndrome Disease using Affective Disorder Pathways
Earl F. Glynn
Identifying Potential Biomarkers for Chronic Fatigue Syndrome via Classification Model Ensemble Mining
Ben Goertzel

Poster Fair, June 8-9, 2006

Validation of CFS classification with different data sources
Enrico Blanzieri
Analysis of microarray gene expression and clinical data to identify biomarkers for Chronic Fatigue Syndrome
Elena Parkhomenko
Does CFS have a biological basis? - A constructionist approach
Daniel Catchpoole
Effect of data processing on the identifying differentially expressed genes with moderate effects
Seoae Cho
Enhanced Bayesian analysis of small microarray experiments using genome-based priors
Feng Hong
Mining cDNA microarray gene expression information with quantitative association rules
Sandra Rodriguez-Zas


Last modified on 06/14/2006 15:49:44

© Duke Comprehensive Cancer Center