CAMDA 2013 Challenge: Big Data in Life Sciences
0
0
Entering edit mode
CAMDA 2013 ▴ 30
@camda-2013-5695
Last seen 7.7 years ago
CAMDA 2013 Challenge: Big Data in Life Sciences http://www.camda.info The CAMDA conference contains a competitive challenge on Big Data in life sciences. Extracting usable knowledge from Big Data is an extremely pressing topic which requires advanced data mining, machine learning, statistical, and data management techniques. The challenge includes the analysis of large toxicogenomic and genetic data obtained by Next Generation Sequencing (NGS). Relevant tasks for the toxicogenomics data include, but are not limited to, feature selection, classification, regression, and clustering. Relevant tasks for the NGS data set, include, but are not limited to, variant detection, identical by descent detection, structural variants detection, and population genetics. To facilitate the data handling, we provide the data set in several formats: - CSV (toxicogenomics) - LIBSVM (toxicogenomics) - VCF (NGS data) - EXCEL Sheet (annotation data and labels) which are ready to use e.g., for binary classification. The raw data is provided as - CEL files (Affymetrix microarray measurements) - BAM files (NGS data) IMPORTANT DATES - Abstract submission deadline for oral presentation / 20 May 2013 - Abstract submission deadline for poster presentation / 25 May 2013 - CAMDA Conference / 19–20 July 2013 You find additional information about the challenge data sets, submissions, etc. at the conference website: http://www.camda.info We look forward to a lively contest! The organizers and chairs of CAMDA 2013 Chairs: Joaquin Dopazo, CIPF, Spain Sepp Hochreiter, Johannes Kepler University, Austria David Kreil, Boku University, Austria Simon Lin, Marshfield Clinic, U.S.A. Local organizer: Djork-Arné Clevert, Johannes Kepler University, Austria Contact: camda@bioinf.jku.at Conference website: http://www.camda.info [[alternative HTML version deleted]]
Sequencing Microarray Genetics Classification Clustering Regression Sequencing Microarray • 779 views
ADD COMMENT

Login before adding your answer.

Traffic: 276 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6