IJAR 2016 - Special issue on Statistical and Computational methods for genomics and integrative genomics

International Journal of Approximate Reasoning
Special issue on Statistical and Computational methods for genomics
and integrative genomics
http://www.journals.elsevier.com/international-jou...
Background and Scope:
In the last decade, the advent of microarray and next-generation
sequencing technologies has created the need of statistical and
computational methodologies specifically developed for dealing with
these types of data and novel biomedical research goals. Genomic data
measure quantities (such as, gene-expression, copy number, genotype,
methylation) at several thousands or millions of positions along the
genome, resulting in an enormous amount of information from which to
extract the relevant content. They are usually noisy and subject to
uncertainties due to non-biological variations, which must be taken
into account during the modelling and inferential processes. Many
other issues arise when the field of application regards the study of
complex genetic diseases, since patients can be highly heterogeneous
and several different lesions may alter the same biological pathway.
Moreover, the number of patients is usually small with respect to the
number of variables, which brings another facet to the problem.
Approaches that try to overcome all these difficulties rely on
biological assumptions and integrate established knowledge and
multiple types of data. Data integration may comprise not only
different genomic data, but also clinical and other patient
information. Combining all this information by an accurate biological
and statistical modelling may allow us to achieve reliable biomedical
discoveries. Inferential and computational issues must be also
considered, as data have very high dimension and computational
resources are limited.
Papers are sought on theoretical and practical considerations
involving statistical and computational approaches to address problems
and data from the biomedical domain, including but not limited to:
Next generation sequencing data
Microarray data
Data integration in genomics
Genetic network modelling and inference
Gene pattern discovery
Disease classification and prediction
Biomarker discovery
Computational biology
General methodological and algorithmic developments are also welcome
as long as they have a clear applicability to the biomedical domain.
If unsure about the fit of your intended paper or for any additional
information, please do not hesitate to contact the guest editors.
Important Dates:
Deadline for first submission: August 31, 2015
Reviews available: November, 2015
Expected online publication: April, 2016
Submission and Review Process:
Authors should prepare their papers according to the Guide for Authors
of the International Journal of Approximate Reasoning
(http://ees.elsevier.com/ija/). All submissions must be made
electronically through the Elsevier's EES submission system at
http://ees.elsevier.com/ija/ with the Article Type 'SI: Statistical
genomics'. All papers will be peer-reviewed following the IJAR review
guidelines.
Guest Editors:
Paola M.V. Rancoita
University Centre for Statistics for the Biomedical Sciences
Vita-Salute San Raffaele University, Italy
http://www.unisr.it/persona.asp?id=8888&linguacv=e...
Cassio P. de Campos
School of Electronics, Electrical Engineering and Computer Science
Queen's University Belfast, UK
http://www.cs.qub.ac.uk/~c.decampos/