Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

100

KDD
2004
ACM

favoriteEmaildiscussreport

163views Data Mining» more KDD 2004»

A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach

15 years 11 months ago

A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach

Download array.bioengr.uic.edu

Zhengdeng Lei, Yang Dai

Real-time Traffic

Data Mining | KDD 2004 | Protein Subcellular Localization | Support Vector Machines |

claim paper

Related Content

» Esub8 A novel tool to predict protein subcellular localizations in eukaryotic organisms

» Protein subcellular localization prediction for Gramnegative bacteria using amino acid sub...

» ProLocGO Utilizing informative Gene Ontology terms for sequencebased prediction of protein...

» An SVMbased system for predicting protein subnuclear localizations

» Predicting residuewise contact orders in proteins by support vector regression

» PSORTdb an expanded autoupdated userfriendly protein subcellular localization database fo...

» Peak intensity prediction in MALDITOF mass spectrometry A machine learning study to suppor...

» Classification of protein sequences by means of irredundant patterns

» PADS Protein Structure Alignment Using Directional Shape Signatures

Post Info
More Details (n/a)

Added	30 Nov 2009
Updated	30 Nov 2009
Type	Conference
Year	2004
Where	KDD
Authors	Zhengdeng Lei, Yang Dai

Comments (0)