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Tuesday, April 3, 2012

Call for Papers: Machine Learning in Genetics and Genomics

Workshop on Machine Learning in Genetics and Genomics [MLGG] co-located with ICML 2012

Location: Edinburgh, Scotland

Important Dates:

Deadline for paper submission: May 7, 2012
Author notification: May 21,2012
Workshop date: July 1,2012

Motivation: The field of computational biology has seen a dramatic growth over the past few years—not only in terms of new available data, but also in new scientific questions, and new challenges for learning and inference. For instance, multiple types of large-scale (often genome-wide) datasets, such as gene expression, genotyping data, whole-genome sequences, protein-protein interactions, and protein abundance measurements, are widely available for multiple model organisms and across multiple conditions, and some of these data types are also available for large patient cohorts. Computational approaches for analyzing and learning from these data are faced with major challenges including scalability, data heterogeneity, missing data and confounding factors to name a few. The goal of this workshop is to present emerging genomics research questions and machine learning techniques that can address some of the challenges on the way to answering fundamental biological questions and refining our understanding of the genesis and progression of diseases.

Topics of Interest: We encourage both contributions describing new research areas and work on established problems using methods that are different from standard approaches. Probabilistic models, sparse regression and classification, semi-supervised approaches, feature selection and other techniques applied to relevant bioinformatics problems would all be appropriate for the workshop. All submissions will be anonymously peer reviewed and will be evaluated on the basis of their technical content. The workshop allows submissions of papers that are under review or have been recently published in a conference or a journal. This is done to encourage presentation of mature research projects that are interesting to the community. The authors should clearly state any overlapping published work at time of submission.

Paper Format: Authors are encouraged to use ICML style file (http://icml.cc/2012/author-instructions/), but are also free to use other styles as long as they use standard font size (11 pt) and margins (1 in). All submissions have to be submitted in PDF format.

Reviewing will be double-blind where each paper will be evaluated on the basis of their technical content and general interest to the audience.

Submission Procedure: Papers should be submitted online: https://www.easychair.org/account/signin.cgi?conf=mlgg2012

Workshop Organizers

Anna Goldenberg, University of Toronto
Pierre Baldi, University of California, Irvine
Sara Mostafavi, Stanford University
Michal Rosen-Zvi, IBM Research, Haifa
URL: http://ai.stanford.edu/~saram/MLGG/MLGG.html

Contact Person: Anna Goldenberg (anna.goldenberg@utoronto.ca)

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