Connectionists: NIPS 2015 workshop on Machine Learning in Computational Biology

[Gerald Quon]

NIPS 2015 workshop on Machine Learning in Computational Biology
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Call for contributions

     Workshop on Machine Learning in Computational Biology

                    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 at 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

Nicolo Fusi (Microsoft Research)
Anna Goldenberg (University of Toronto)
Sara Mostafavi (UBC)
Gerald Quon (UC Davis)
Oliver Stegle (EMBL-EBI)


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