z-logo
open-access-imgOpen Access
Analysis ofE.colipromoter recognition problem in dinucleotide feature space
Author(s) -
T. Sobha Rani,
S. Durga Bhavani,
Raju S. Bapi
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl670
Subject(s) - promoter , perceptron , artificial intelligence , pattern recognition (psychology) , genetics , computational biology , computer science , mathematics , biology , artificial neural network , gene , gene expression
Patterns in the promoter sequences within a species are known to be conserved but there exist many exceptions to this rule which makes the promoter recognition a complex problem. Although many complex feature extraction schemes coupled with several classifiers have been proposed for promoter recognition in the current literature, the problem is still open.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom