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BMC Bioinformatics

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Volume 8 Supplement 2

Probabilistic Modeling and Machine Learning in Structural and Systems Biology

Research

Edited by Samuel Kaski, Juho Rousu, Esko Ukkonen

Probabilistic Modeling and Machine Learning in Structural and Systems Biology. Go to conference site.

Tuusula, Finland17-18 June 2006

  1. Content type: Research

    In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is considered to be an accurate surrogate for t...

    Authors: Simon Rogers, Raya Khanin and Mark Girolami

    Citation: BMC Bioinformatics 2007 8(Suppl 2):S2

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  2. Content type: Research

    Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning these networks is challenging due to the low ...

    Authors: Rainer Opgen-Rhein and Korbinian Strimmer

    Citation: BMC Bioinformatics 2007 8(Suppl 2):S3

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  3. Content type: Research

    Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem are important to complement high-throughpu...

    Authors: Pierre Geurts, Nizar Touleimat, Marie Dutreix and Florence d'Alché-Buc

    Citation: BMC Bioinformatics 2007 8(Suppl 2):S4

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  4. Content type: Research

    In recent years, several authors have used probabilistic graphical models to learn expression modules and their regulatory programs from gene expression data. Despite the demonstrated success of such algorithm...

    Authors: Tom Michoel, Steven Maere, Eric Bonnet, Anagha Joshi, Yvan Saeys, Tim Van den Bulcke, Koenraad Van Leemput, Piet van Remortel, Martin Kuiper, Kathleen Marchal and Yves Van de Peer

    Citation: BMC Bioinformatics 2007 8(Suppl 2):S5

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  5. Content type: Research

    When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis cannot be applied when the data have missing va...

    Authors: Dankyu Yoon, Eun-Kyung Lee and Taesung Park

    Citation: BMC Bioinformatics 2007 8(Suppl 2):S6

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  6. Content type: Research

    Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically detect the "natural" number of clusters un...

    Authors: Alberto Bertoni and Giorgio Valentini

    Citation: BMC Bioinformatics 2007 8(Suppl 2):S7

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  7. Content type: Research

    A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk assessment and diagnostics. Here we focus on c...

    Authors: Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soininen, Petri Ingman, Sanna M Mäkelä, Markku J Savolainen, Minna L Hannuksela, Kimmo Kaski and Mika Ala-Korpela

    Citation: BMC Bioinformatics 2007 8(Suppl 2):S8

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  8. Content type: Research

    Haplotype Reconstruction is the problem of resolving the hidden phase information in genotype data obtained from laboratory measurements. Solving this problem is an important intermediate step in gene association...

    Authors: Niels Landwehr, Taneli Mielikäinen, Lauri Eronen, Hannu Toivonen and Heikki Mannila

    Citation: BMC Bioinformatics 2007 8(Suppl 2):S9

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  9. Content type: Research

    Features of a DNA sequence can be found by compressing the sequence under a suitable model; good compression implies low information content. Good DNA compression models consider repetition, differences betwee...

    Authors: Trevor I Dix, David R Powell, Lloyd Allison, Julie Bernal, Samira Jaeger and Linda Stern

    Citation: BMC Bioinformatics 2007 8(Suppl 2):S10

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2016 Journal Metrics

  • Citation Impact
    2.448 - 2-year Impact Factor
    3.450 - 5-year Impact Factor
    0.946 - Source Normalized Impact per Paper (SNIP)
    1.467 - SCImago Journal Rank (SJR)

    Usage 
    3784657 downloads
    1405 Usage Factor


    Social Media Impact
    816 mentions

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