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Ecoli数据集,预测真核细胞蛋白质定位位点的知识库

Ecoli数据集,预测真核细胞蛋白质定位位点的知识库

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Life Classification

Data Set Information:The references below describe a predecessor to this dataset and its development. They also give res......

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    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    The references below describe a predecessor to this dataset and its development. They also give results (not cross-validated) for classification by a rule-based expert system with that version of the dataset.

    Reference: "Expert Sytem for Predicting Protein Localization Sites in Gram-Negative Bacteria", Kenta Nakai & Minoru Kanehisa,  PROTEINS: Structure, Function, and Genetics 11:95-110, 1991.

    Reference: "A Knowledge base for Predicting Protein Localization Sites in Eukaryotic Cells", Kenta Nakai & Minoru Kanehisa, Genomics 14:897-911, 1992.


    Attribute Information:

    1.  Sequence Name: Accession number for the SWISS-PROT database
     2.  mcg: McGeoch's method for signal sequence recognition.
     3.  gvh: von Heijne's method for signal sequence recognition.
     4.  lip: von Heijne's Signal Peptidase II consensus sequence score. Binary attribute.
     5.  chg: Presence of charge on N-terminus of predicted lipoproteins. Binary attribute.
     6.  aac: score of discriminant analysis of the amino acid content of outer membrane and periplasmic proteins.
     7. alm1: score of the ALOM membrane spanning region prediction program.
     8. alm2: score of ALOM program after excluding putative cleavable signal regions from the sequence.


    Relevant Papers:

    Paul Horton & Kenta Nakai. "A Probablistic Classification System for Predicting the Cellular Localization Sites of Proteins".Intelligent Systems in Molecular Biology, 109-115. St. Louis, USA 1996.
    [Web link]


    Papers That Cite This Data Set1:


    Vassilis Athitsos and Stan Sclaroff. Boosting Nearest Neighbor Classifiers for Multiclass Recognition. Boston University Computer Science Tech. Report No, 2004-006. 2004.  [View Context].

    Charles X. Ling and Qiang Yang and Jianning Wang and Shichao Zhang. Decision trees with minimal costs. ICML. 2004.  [View Context].

    Xiaoyong Chai and Li Deng and Qiang Yang and Charles X. Ling. Test-Cost Sensitive Naive Bayes Classification. ICDM. 2004.  [View Context].

    Aik Choon Tan and David Gilbert. An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics. APBC. 2003.  [View Context].

    Mukund Deshpande and George Karypis. evaluation of Techniques for Classifying Biological Sequences. PAKDD. 2002.  [View Context].

    Huajie Zhang and Charles X. Ling. An Improved Learning Algorithm for Augmented Naive Bayes. PAKDD. 2001.  [View Context].

    Creator and Maintainer:

    Kenta Nakai
    Institue of Molecular and Cellular Biology
    Osaka, University
    1-3 Yamada-oka, Suita 565 Japan
    nakai '@' imcb.osaka-u.ac.jp
    http://www.imcb.osaka-u.ac.jp/nakai/psort.html

    Donor:

    Paul Horton (paulh '@' cs.berkeley.edu)

    See also: yeast database

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