BioData Mining


BioData Mining

Publisher: BioMed Central

BioData Mining, is an open access, peer reviewed, online journal
encompassing research on all aspects of data mining applied to
high-dimensional biological and biomedical data, focusing on computational
aspects of knowledge discovery from large-scale genetic, transcriptomic,
genomic, proteomic, and metabolomic data.

Topical areas include, but are not limited to:

* Development, evaluation, and application of novel data mining and machine
learning algorithms.
* Adaptation, evaluation, and application of traditional data mining and
machine learning algorithms.
* Open-source software for the application of data mining and machine
learning algorithms.
* Design, development and integration of databases, software and web
services for the storage, management, retrieval, and analysis of data from
large scale studies.
* Pre-processing, post-processing, modeling, and interpretation of data
mining and machine learning results for biological interpretation and
knowledge discovery.

ISSN: 1756-0381

Manuscripts should be submitted electronically to BioData Mining using the
online submission system.

Managing Editor:

Marylyn D Ritchie PhD
Assistant Professor
Vanderbilt University



Dr Jesus Aguilar-Ruiz PhD
Pablo De Olavide University
School of Engineering

Dr Jason H. Moore PhD
Associate Professor of Genetics
Dartmouth Medical School
Lebanon NH
United States

Abstracts available online. Articles available in HTML and PDF format.

Current Issue: Volume 1:5 (17 July 2008)

Date: 22 July 2008

Open Access: 
Original posting date: 
Tuesday, July 22, 2008
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