NDLI: Cascaded Multi-level Promoter Recognition of E. coli Using Dinucleotide Features

Content Provider	IEEE Xplore Digital Library
Author	Rani, T.S. Bapi, R.S.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Univ. of Hyderabad, Hyderabad, India (Rani, T.S.; Bapi, R.S.)
Abstract	Promoter recognition has been attempted using different paradigms such as motif/binding regions alone or whole promoter itself. In an earlier paper, a scheme is proposed to use 2-gram features to represent a promoter. These 2-grams gave a comparable performance with the existing methods in the literature. An in-depth analysis of data sets using 2-grams is performed. The analysis presented a scenario where there is a confusion between a majority of promoters with a minor set of non-promoter and vice versa. In an effort to build a complete classification system, using the majority and minority sets in promoters as well as non-promoters, a multi-level cascading system and Ada-Boost classifier are applied. The results indicate that much further improvement is not possible with the modifications proposed.
Starting Page	83
Ending Page	88
File Size	244809
Page Count	6
File Format	PDF
ISBN	9781424437450
DOI	10.1109/ICIT.2008.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-17
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Switches neural networks Gene expression machine learning techniques Information technology Neural networks Machine learning global feature extraction Frequency Feature extraction Ada-boost classifier Performance analysis Computational intelligence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Promoter recognition using dinucleotide features : a case study for E.Coli

BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/btl670 Structural bioinformatics Analysis of E.coli promoter recognition problem in dinucleotide

Paul c. Conilione and dianhui wang a comparative study on feature selection for e.coli promoter recognition a comparative study on feature selection for e.coli promoter recognition.

SVM multi-classifier and Web document classification

Hybrid Feature Vector Extraction in Unsupervised Learning Neural Classifier

Devanagari offline handwritten numeral and character recognition using multiple features and neural network classifier

An efficient multicategory classifier based on AdaBoosting

Automatic Nipple Detection Using Cascaded AdaBoost Classifier

Multi-level Classifier Design for Tumor Micro-image Based on Multi-feature Fusion

Cascaded Multi-level Promoter Recognition of E. coli Using Dinucleotide Features

Similar Documents

Promoter recognition using dinucleotide features : a case study for E.Coli

BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/btl670 Structural bioinformatics Analysis of E.coli promoter recognition problem in dinucleotide

Paul c. Conilione and dianhui wang a comparative study on feature selection for e.coli promoter recognition a comparative study on feature selection for e.coli promoter recognition.

SVM multi-classifier and Web document classification

Hybrid Feature Vector Extraction in Unsupervised Learning Neural Classifier

Devanagari offline handwritten numeral and character recognition using multiple features and neural network classifier

An efficient multicategory classifier based on AdaBoosting

Automatic Nipple Detection Using Cascaded AdaBoost Classifier

Multi-level Classifier Design for Tumor Micro-image Based on Multi-feature Fusion

Cascaded Multi-level Promoter Recognition of E. coli Using Dinucleotide Features