Navigation:
wednesday
thursday
friday
posters
Wednesday, June 7, 2006
-
Preconference seminar:
Richard Simon
-
- Chief, Biometric Research Branch
- National Cancer Institute
- Rockville, MD
- (presentation)
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
- (presentation)
-
Mining of Microarray, Proteomics, and Clinical Data for Improved Identification of Chronic Fatigue Syndrome
-
- Zoran Obradovic
- (presentation)
-
Integration of clinical, SNP, and microarray gene expression measurements in prediction of chronic fatigue syndrome
-
- Sooyeol Lim
- (presentation)
-
Bayesian joint disease-marker-expression analysis applied to clinical characteristics of chronic fatigue syndrome
-
- Madhuchhanda Bhattacharjee
- (presentation)
-
Integration of Expression Data and Genotype Data: Application of Chronic Fatigue Syndrome Data
-
- E.J. Lee
- (presentation)
-
Integration of Genetic and Genomic Approaches for the Analysis of Chronic Fatigue Syndrome Implicates Forkhead Box N1
-
- Anja Presson
- (presentation)
Friday, June 9, 2006
-
Keynote speaker:
Christoph Borchers
-
- Department of Biochemistry and Biophysics
- University of North Carolina
- Chapel Hill, NC, USA
- (presentation)
-
CAMDA 2006 Validation
-
- Suzanne D. Vernon
- (presentation)
-
QA/QC of Clinical SELDI-TOF Data with Wavelets
-
- Simon Lin
- (presentation)
-
Serum Diagnosis of Chronic Fatigue Syndrome Using Array-based Proteomics
-
- Pingzhao Hu
- (presentation)
-
CAMDA 2007 and beyond
-
- Joaquin Dopazo
- (presentation)
-
Detecting Pathological Pathways of the Chronic Fatigue Syndrome by the Comparison of Networks
-
- Frank Emmert-Streib
- (presentation)
-
An Attempt to Categorize the Severity of the Chronic Fatigue Syndrome Disease using Affective Disorder Pathways
-
- Earl F. Glynn
- (presentation)
-
Identifying Potential Biomarkers for Chronic Fatigue Syndrome via Classification Model Ensemble Mining
-
- Ben Goertzel
- (presentation)
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
Sponsors:
|