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Volume 11 Supplement 8

Proceedings of the Neural Information Processing Systems (NIPS) Workshop on Machine Learning in Computational Biology (MLCB)


Edited by Yanjun Qi and Gal Chechik

Machine Learning in Computational Biology (MLCB) 2009.

Whistler, Canada10-11 December 2009

  1. We consider the problem of identifying motifs, recurring or conserved patterns, in the biological sequence data sets. To solve this task, we present a new deterministic algorithm for finding patterns that are ...

    Authors: Pavel P Kuksa and Vladimir Pavlovic
    Citation: BMC Bioinformatics 2010 11(Suppl 8):S1
  2. The recent explosion of experimental techniques in single molecule biophysics has generated a variety of novel time series data requiring equally novel computational tools for analysis and inference. This arti...

    Authors: Jonathan E Bronson, Jake M Hofman, Jingyi Fei, Ruben L Gonzalez Jr. and Chris H Wiggins
    Citation: BMC Bioinformatics 2010 11(Suppl 8):S2
  3. This paper demonstrates how a Neural Grammar Network learns to classify and score molecules for a variety of tasks in chemistry and toxicology. In addition to a more detailed analysis on datasets previously st...

    Authors: Eddie YT Ma, Christopher JF Cameron and Stefan C Kremer
    Citation: BMC Bioinformatics 2010 11(Suppl 8):S4
  4. The lack of sufficient training data is the limiting factor for many Machine Learning applications in Computational Biology. If data is available for several different but related problem domains, Multitask Le...

    Authors: Christian Widmer, Nora C Toussaint, Yasemin Altun and Gunnar Rätsch
    Citation: BMC Bioinformatics 2010 11(Suppl 8):S5
  5. Determination of protein subcellular localization plays an important role in understanding protein function. Knowledge of the subcellular localization is also essential for genome annotation and drug discovery...

    Authors: Cornelia Caragea, Doina Caragea, Adrian Silvescu and Vasant Honavar
    Citation: BMC Bioinformatics 2010 11(Suppl 8):S6
  6. String kernels are commonly used for the classification of biological sequences, nucleotide as well as amino acid sequences. Although string kernels are already very powerful, when it comes to amino acids they...

    Authors: Nora C Toussaint, Christian Widmer, Oliver Kohlbacher and Gunnar Rätsch
    Citation: BMC Bioinformatics 2010 11(Suppl 8):S7
  7. We present an infinite mixture-of-experts model to find an unknown number of sub-groups within a given patient cohort based on survival analysis. The effect of patient features on survival is modeled using the...

    Authors: Sudhir Raman, Thomas J Fuchs, Peter J Wild, Edgar Dahl, Joachim M Buhmann and Volker Roth
    Citation: BMC Bioinformatics 2010 11(Suppl 8):S8

Annual Journal Metrics

  • 2022 Citation Impact
    3.0 - 2-year Impact Factor
    4.3 - 5-year Impact Factor
    0.938 - SNIP (Source Normalized Impact per Paper)
    1.100 - SJR (SCImago Journal Rank)

    2023 Speed
    19 days submission to first editorial decision for all manuscripts (Median)
    146 days submission to accept (Median)

    2023 Usage
    4,858 Altmetric mentions 

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