Commit Inicial

data/tanveer/ecoli/ecoli.names

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+1. Title: Protein Localization Sites
+
+
+2. 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)
+   Date:  September, 1996
+   See also: yeast database
+
+3. Past Usage.
+Reference: "A Probablistic Classification System for Predicting the Cellular 
+           Localization Sites of Proteins", Paul Horton & Kenta Nakai,
+           Intelligent Systems in Molecular Biology, 109-115.
+	   St. Louis, USA 1996.
+Results: 81% for E.coli with an ad hoc structured
+	 probability model. Also similar accuracy for Binary Decision Tree and
+	 Bayesian Classifier methods applied by the same authors in
+	 unpublished results.
+
+Predicted Attribute: Localization site of protein. ( non-numeric ).
+
+
+4. 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.
+
+
+5. Number of Instances:  336 for the E.coli dataset and 
+
+
+6. Number of Attributes.
+         for E.coli dataset:  8 ( 7 predictive, 1 name )
+
+	     
+7. 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.
+
+
+
+8. Missing Attribute Values: None.
+
+
+9. Class Distribution. The class is the localization site. Please see Nakai &
+		       Kanehisa referenced above for more details.
+
+  cp  (cytoplasm)                                    143
+  im  (inner membrane without signal sequence)        77               
+  pp  (perisplasm)                                    52
+  imU (inner membrane, uncleavable signal sequence)   35
+  om  (outer membrane)                                20
+  omL (outer membrane lipoprotein)                     5
+  imL (inner membrane lipoprotein)                     2
+  imS (inner membrane, cleavable signal sequence)      2
+
+
+
+
+
+  
+
+
+
+