Call for Submissions
Cancer Bioinformatics Workshop
September, 2nd-4th 2010
Cambridge Research Institute,
Supported by the EPSRC, PASCAL2 and the Royal Statistical Society
Submission Deadline: Friday 30th April 2010
Notification of Acceptance: Tuesday 1st June 2010
Registration closes: Monday 2nd August 2010
Workshop Date: 2nd-4th September 2010
Substantial amounts of data are being generated within cancer research.
Datasets range from gene expression and microRNA array data through to next
generation sequence data. Data interpretation draws on mathematical and
computational skills and thus the subject has engaged the interest of
researchers in areas such as machine learning, statistics, bioinformatics
and computer science. The goal of this cross-disciplinary Workshop is
therefore to bring together researchers from these disciplines and
cancer researchers who have an interest in data analysis, to explore and
present innovative approaches to this subject. Presented papers should:
(1) Propose novel data analysis methods applicable to this domain or:
(2) Present bioinformatics-driven studies in which mathematical or
computational methods played an important role in finding results of
potential significance in cancer research.
For novel data analysis methods, a non-exhaustive list of suitable topics
– unsupervised, semi-supervised and biclustering methods to highlight disease subtypes or dysregulated genes within these subtypes,
– data integration/data fusion methods to integrate different types of data
such as gene expression, microRNA expression and array CGH data,
– inference of gene regulatory networks,
– pathway modeling and probabilistic ranking of pathway models,
– biomarker discovery,
– genome-wide association studies,
– rational drug design methods and chemoinformatics,
– protein function, structure prediction and structural bioinformatics,
– microRNA target site prediction,
– analysis of high throughput sequencing data,
– gene expression and post-transcriptional regulation,
– methods for the detection of fusion genes,
– prediction of disease progression,
– probabilistic inference, Bayesian methods and Kernel-based methods
for classifier design with applications to cancer bioinformatics,
– methods for the detection and quantification of copy number alterations and deletions.
There is a planned associated edited volume (see website).
Keith Baggerly (M.D. Anderson Cancer Center)
Olivier Elemento (Cornell Weill)
Mark Girolami (University of Glasgow)
Debashis Ghosh (University of Michigan)
Rachel Karchin (John Hopkins University)
Sami Kaski (Helsinki University of Technology)
Mark van der Laan (UC Berkeley)
Shayan Mukherjee (Duke University)
Peter Park (Harvard University)
Dana Pe’er (Columbia University)
John Quackenbush (Harvard University)
Lodewyck Wessels (NKI Netherlands)
We invite you to submit a two page extended abstract, with pointers to
supporting material where appropriate. Submissions should be sent to
email@example.com and should be received by 30th April 2010.
Notification of acceptance will be given by 1st June 2010.
Papers will be selected for oral or poster presentation.
Poster size should be a maximum of A0 (width x height:
841mm x 1189mm)
The Cancer Research UK Cambridge Research Institute
Li Ka Shing Centre, Robinson Way, Cambridge, England
The standard registration fee is 200 pounds Sterling and will cover
all meals during the course of the Workshop at the Cambridge Research
Institute and all meals and accommodation at Homerton College for the
nights of Thursday 2/3 and Friday 3/4 September.
For those not using the accommodation arrangements at Homerton College
it is possible to register for free (see website for further
Colin Campbell (University of Bristol, United Kingdom)
Christina Leslie (Sloan Kettering Cancer Center, New York, USA)
Florian Markowetz (Cancer Research UK Cambridge Research Institute, United Kingdom)
Jean-Philippe Vert (Institut Curie, Paris, France)
This Workshop is sponsored through:
– The EPSRC (principal event sponsor) through grant EP/H024778/1.
– The Royal Statistical Society.
– The EU PASCAL2 Network of Excellence.