sbsreedh / random-forest-for-yeast-classification

Classification of protein localization sites in yeast bacteria using Random Forest Classifier

Random-Forest-for-yeast-Classification

Classification of protein localization sites in yeast bacteria using Random Forest Classifier

The dataset can be obtained from :https://archive.ics.uci.edu/ml/datasets/Yeast

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. alm: Score of the ALOM membrane spanning region prediction program.
5. mit: Score of discriminant analysis of the amino acid content of the N-terminal region (20 residues long) of mitochondrial and non-mitochondrial proteins.
6. erl: Presence of "HDEL" substring (thought to act as a signal for retention in the endoplasmic reticulum lumen). Binary attribute.
7. pox: Peroxisomal targeting signal in the C-terminus.
8. vac: Score of discriminant analysis of the amino acid content of vacuolar and extracellular proteins.
9. nuc: Score of discriminant analysis of nuclear localization signals of nuclear and non-nuclear proteins.