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6 result(s) for 'jansen' within Volume 10 of BMC Bioinformatics

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  1. Supervised learning and many stochastic methods for predicting protein-protein interactions require both negative and positive interactions in the training data set. Unlike positive interactions, negative inte...

    Authors: Jisu Kim, De-Shuang Huang and Kyungsook Han
    Citation: BMC Bioinformatics 2009 10(Suppl 1):S57
    Content type: Research Published on:

    This article is part of a Supplement: Volume 10 Supplement 1

  2. A lot of high-throughput studies produce protein-protein interaction networks (PPINs) with many errors and missing information. Even for genome-wide approaches, there is often a low overlap between PPINs produ...

    Authors: Bill Andreopoulos, Christof Winter, Dirk Labudde and Michael Schroeder
    Citation: BMC Bioinformatics 2009 10:196
    Content type: Research article Published on:

  3. Nucleosomes regulate DNA accessibility and therefore play a central role in transcription control. Computational methods have been developed to predict static nucleosome positions from DNA sequences, but nucle...

    Authors: Zhiming Dai, Xianhua Dai, Qian Xiang, Jihua Feng, Yangyang Deng, Jiang Wang and Caisheng He
    Citation: BMC Bioinformatics 2009 10(Suppl 1):S31
    Content type: Research Published on:

    This article is part of a Supplement: Volume 10 Supplement 1

  4. Many plant species show induced responses that protect them against exogenous attacks. These responses involve the production of many different bioactive compounds. Plant species belonging to the Brassicaceae fam...

    Authors: Jeroen J Jansen, Nicole M van Dam, Huub CJ Hoefsloot and Age K Smilde
    Citation: BMC Bioinformatics 2009 10:425
    Content type: Methodology article Published on:

  5. High-dimensional biomolecular profiling of genetically different individuals in one or more environmental conditions is an increasingly popular strategy for exploring the functioning of complex biological syst...

    Authors: Yang Li, Morris A Swertz, Gonzalo Vera, Jingyuan Fu, Rainer Breitling and Ritsert C Jansen
    Citation: BMC Bioinformatics 2009 10:188
    Content type: Software Published on:

  6. Hypothesis generation in molecular and cellular biology is an empirical process in which knowledge derived from prior experiments is distilled into a comprehensible model. The requirement of automated support ...

    Authors: Marco Roos, M Scott Marshall, Andrew P Gibson, Martijn Schuemie, Edgar Meij, Sophia Katrenko, Willem Robert van Hage, Konstantinos Krommydas and Pieter W Adriaans
    Citation: BMC Bioinformatics 2009 10(Suppl 10):S9
    Content type: Research Published on:

    This article is part of a Supplement: Volume 10 Supplement 10

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BMC Bioinformatics

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