Workshop
on
Machine Learning in Biomedicine and Bioinformatics
of
The Seventh International Conference on Machine Learning and Applications (ICMLA’ 08)
http://www.icmla-conference.org/icmla08/
December 11-13, 2008 – San Diego, CA, USA
(I) WORKSHOP SCOPE AND OBJECTIVE
Bioinformatics and Biomedicine continue to face challenges to deal with very large amounts of data. Mining biological data thus requires sophisticated machine learning techniques. The goal of the workshop is to promote development and applications of novel machine learning methods to solve problems in bioinformatics and biomedicine. Building upon the success of the workshop in 2007, we continue the workshop this year. The workshop will feature invited talks from noted experts in the field and the latest machine learning research in bioinformatics and biomedicine. We welcome papers that describe novel machine learning problem formulations and novel machine learning algorithms. Topics includes, not limited to:
Text mining and ontologies
High-throughput storage/processing/analysis, e.g., gene expression data
Visualization of large data sets
Interpretation of experiments in the context of knowledge from databases
Protein or gene interaction networks
RNAi and microRNA analysis
Pathways
Mining sequences from massively parallel sequencing technology
Genomic and proteomic sequence analysis
Comparative genomics
Phylogenetics
Epigenomics data analysis
Systems biology
(II) SUBMISSION DEADLINES and GUIDELINES
Paper submission
due: June 15, 2008 July 15, 2008
Notification of acceptance: September 1, 2008
Camera-ready papers and Registration: October 1, 2008
ICMLA Conference: December 11-13, 2008
We invite papers on original research. All submitted papers will be peer reviewed and evaluated on originality, significance, technical soundness, and clarity of expression.
Papers for this workshop should be submitted by June 15, 2008 July
15, 2008, at the regular paper submission
website (http://www.icmla-conference.org/icmla08/). Papers should not exceed a maximum of 6
pages (including abstract, body, tables, figures, and references) and
should be submitted as a pdf in 2-column IEEE format. LaTeX document class
files for 2-column format can be found on the IEEE Author Tools web page here.
All inquiries should be addressed to one of the co-chairs:
Dechang Chen: dchen [at] usuhs.mil
Chris Ding: CHQDing [at] uta.edu
Sun Kim: sunkim [at] bio.informatics.indiana.edu
Program Committee:
Gurkan Bebek Case Western Rserve University USA
Chengpeng Bi University of Missouri USA
Dechang Chen Uniformed Services University of the Health Services USA
Justin Choi Indiana University USA
Chris Ding University of Texas at Arlington USA
Jianwen Fang University of Kansas USA
Jean Gao University of Texas at Arlington USA
Tamer Kahveci University of Florida USA
Hyunsoo Kim Harvard University USA
Seungchan Kim Arizona State University USA
Sun Kim Indiana University USA
Mark A. Kon Boston University USA
Dmitry Korkin University of Missouri USA
Birong Liao Eli Lilly USA
Aiguo Li NCI/NIH USA
Jinze Liu University of Kentucky USA
Zhenqiu Liu University of Maryland Medicine USA
Yingshu Li Georgia State University USA
Feng Lou Clemson University USA
Chandan K. Reddy Wyane State University USA
Li Sheng Drexel University USA
Konstantinos Sirlantzis University of Kent UK
Aik Choon Tan Johns Hopkins University USA
Jiong Yang Case Western Rserve University USA
Illhoi Yoo University of Missouri-Columbia USA
Xiaoyu Zhang California State University San Marcos USA