English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites

Zien, A., Rätsch, G., Mika, S., Schölkopf, B., Lemmen, C., Smola, A., et al. (2000). Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites. Bioinformatics, 16(9), 799-807. doi:10.1093/bioinformatics/16.9.799.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E64F-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-C556-C
Genre: Conference Paper

Files

show Files

Locators

show
hide
Locator:
https://academic.oup.com/bioinformatics/article-pdf/16/9/799/873726/160799.pdf (Publisher version)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Zien, A, Author           
Rätsch, G, Author           
Mika, S, Author
Schölkopf, B1, Author           
Lemmen, C, Author
Smola, AJ, Author           
Lengauer, T, Author
Müller, K-R, Author           
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Motivation: In order to extract protein sequences from nucleotide sequences, it is an important step to recognize points at which regions start that code for proteins. These points are called translation initiation sites (TIS).

Results: The task of finding TIS can be modeled as a classification problem. We demonstrate the applicability of support vector machines for this task, and show how to incorporate prior biological knowledge by engineering an appropriate kernel function. With the described techniques the recognition performance can be improved by 26% over leading existing approaches. We provide evidence that existing related methods (e.g. ESTScan) could profit from advanced TIS recognition.

Details

show
hide
Language(s):
 Dates: 1999-102000-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 5046
DOI: 10.1093/bioinformatics/16.9.799
 Degree: -

Event

show
hide
Title: German Conference on Bioinformatics (GCB 1999)
Place of Event: Hannover, Germany
Start-/End Date: 1999-10-04 - 1999-10-06

Legal Case

show

Project information

show

Source 1

show
hide
Title: Bioinformatics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 16 (9) Sequence Number: - Start / End Page: 799 - 807 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991