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NIPS 2015 workshop on Machine Learning in Computational Biology
Canada - QC - Montreal

Hosted by: NIPS 2015
Venue: Montréal, Canada
Dates: Dec 12, 2015 through Dec 12, 2015

Call for Proceedings Presentations: 2015-08-28 through 2015-10-04
 
Description
 
NIPS 2015 workshop on Machine Learning in Computational Biology
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Call for contributions

http://www.mlcb.org

A workshop at the Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2015)

Montreal, QC, Canada, December 12, 2015.


Important dates:
Oct 4, 2015 : Deadline for submission of extended abstracts
Oct 22, 2015: Acceptance notification
Dec 12, 2015: Workshop date

WORKSHOP DESCRIPTION

The field of computational biology has seen dramatic growth over the past few years. A wide range of high-throughput technologies developed in the last decade now enable us to measure parts of a biological system at various resolutions—at the genome, epigenome, transcriptome, and proteome levels. These technologies are now being used to collect data for an ever-increasingly diverse set of problems, ranging from classical problems such as predicting differentially regulated genes between time points and predicting subcellular localization of RNA and proteins, to models that explore complex mechanistic hypotheses bridging the gap between genetics and disease, population genetics and transcriptional regulation. Fully realizing the scientific and clinical potential of these data requires developing novel supervised and unsupervised learning methods that are scalable, can accommodate heterogeneity, are robust to systematic noise and confounding factors, and provide mechanistic insights.

The goals of this workshop are to i) present emerging problems and innovative machine learning techniques in computational biology, and ii) generate discussion on how to best model the intricacies of biological data and synthesize and interpret results in light of the current work in the field. We will invite several rising leaders from the biology/bioinformatics community who will present current research problems in computational biology and lead these discussions based on their own research and experiences. We will also have the usual rigorous screening of contributed talks on novel learning approaches in computational biology. We encourage contributions describing either progress on new bioinformatics problems or work on established problems using methods that are substantially different from established alternatives. Kernel methods, graphical models, feature selection, non-parametric models and other techniques applied to relevant bioinformatics problems would all be appropriate for the workshop. We are particularly keen on considering contributions related to the prediction of functions from genotypes and that target data generated from novel technologies such as gene editing and single cell genomics, though we will consider all submissions that highlight applications of machine learning into computational biology. The targeted audience are people with interest in learning and applications to relevant problems from the life sciences, including NIPS participants without any existing research link to computational biology.


SUBMISSION INSTRUCTIONS

Researchers interested in contributing should upload an extended abstract of 4 pages in PDF format to the MLCB submission web site

https://easychair.org/conferences/?conf=mlcb2015

by Oct 4, 2015, 11:59pm (time zone of your choice).

No special style is required. Authors may use the NIPS style file, but are also free to use other styles as long as they use standard font size (11 pt) and margins (1 in).

*Submissions should be suitably anonymized and meet the requirements for double-blind reviewing.*

All submissions will be anonymously peer reviewed and will be evaluated on the basis of their technical content. A strong submission to the workshop typically presents a new learning method that yields new biological insights, or applies an existing learning method to a new biological problem. However, submissions that improve upon existing methods for solving previously studied problems will also be considered. Examples of research presented in previous years can be found online at http://www.mlcb.org/nipscompbio/previous/.

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.

Send any questions to mlcb2015@easychair.org.

INVITED SPEAKERS

Dana Pe’er (Associate Professor of Biology and Systems Biology, Columbia University)
Matthew Stephens (Professor of Statistics and Human Genetics, University of Chicago)


ORGANIZERS

Anna Goldenberg (University of Toronto)
Gerald Quon (UC Davis)
Nicolo Fusi (Microsoft Research)
Oliver Stegle (EMBL-EBI)
Sara Mostafavi (UBC)
 
Additional Information
 
Event URL: http://mlcb.org/
ISCB Member Discount: None
Contact Person: MLCB organizers ([javascript protected email address])

While ISCB provides for conference and event listings that may be of interest to members and bioinformaticians at large, ISCB is not responsible for the content provided by outside sources. Such listings are not meant as an endorsement by ISCB.



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