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  1. The analysis and interpretation of relationships between biological molecules, networks and concepts is becoming a major bottleneck in systems biology. Very often the pure amount of data and their heterogeneit...

    Authors: Georgios A Pavlopoulos, Anna-Lynn Wegener and Reinhard Schneider

    Citation: BioData Mining 2008 1:12

    Content type: Review

    Published on:

  2. Analysis of a microarray experiment often results in a list of hundreds of disease-associated genes. In order to suggest common biological processes and functions for these genes, Gene Ontology annotations wit...

    Authors: Kristian Ovaska, Marko Laakso and Sampsa Hautaniemi

    Citation: BioData Mining 2008 1:11

    Content type: Software article

    Published on:

  3. Dysfunction in the endolysosome, a late endosomal to lysosomal degradative intracellular compartment, is an early hallmark of some neurodegenerative diseases, in particular Alzheimer's disease. However, the su...

    Authors: Saravana K Kumarasamy, Yunshi Wang, Vignesh Viswanathan and Rachel S Kraut

    Citation: BioData Mining 2008 1:10

    Content type: Methodology

    Published on:

  4. The tissue specificity of gene expression has been linked to a number of significant outcomes including level of expression, and differential rates of polymorphism, evolution and disease association. Recent st...

    Authors: Antonio Reverter, Aaron Ingham and Brian P Dalrymple

    Citation: BioData Mining 2008 1:8

    Content type: Research

    Published on:

  5. Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithm...

    Authors: Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, Jose Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza and Pedro Larrañaga

    Citation: BioData Mining 2008 1:6

    Content type: Review

    Published on:

  6. Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical applications, such as the predictio...

    Authors: Haiying Wang, Huiru Zheng and Francisco Azuaje

    Citation: BioData Mining 2008 1:5

    Content type: Review

    Published on:

  7. Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to study the expression patterns of many genes ...

    Authors: Qicheng Ma, Gung-Wei Chirn, Joseph D Szustakowski, Adel Bakhtiarova, Penelope A Kosinski, Daniel Kemp and Nanguneri Nirmala

    Citation: BioData Mining 2008 1:4

    Content type: Methodology

    Published on:

  8. Comorbidity of Major Depressive Disorder (depression) and Alcohol Use Disorders (AUD) is well documented. Depression, AUD, and the comorbidity of depression with AUD show evidence of genetic and environmental ...

    Authors: Richard C McEachin, Benjamin J Keller, Erika FH Saunders and Melvin G McInnis

    Citation: BioData Mining 2008 1:2

    Content type: Research

    Published on:

  9. This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful knowledge from heterogeneous biol...

    Authors: Jesús S Aguilar-Ruiz, Jason H Moore and Marylyn D Ritchie

    Citation: BioData Mining 2008 1:1

    Content type: Editorial

    Published on:

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