Prediction of Bacterial Virulent Proteins with Composition Moment Vector Feature Encoding Method

E-ISSN： 2261-236x|49|issue|07001-07001

ISSN： 2261-236x

Source： MATEC Web of conference, Vol.49, Iss.issue, 2016-04, pp. : 07001-07001

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

HOW VIRULENT SHOULD A PARASITE BE TO ITS VECTOR?

Ecology, Vol. 84, Iss. 10, 2003-10 ,pp. : 2568-2574

John Wiley & Sons Inc

Access to resources Recommend Favorite

Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery

By Dragozi Eleni Gitas Ioannis Z. Stavrakoudis Dimitris G. Theocharis John B.

Remote Sensing, Vol. 6, Iss. 12, 2014-12 ,pp. : 12005-12036

MDPI

Access to resources Recommend Favorite

A statistical prediction method on the level distribution of road traffic noise based on the nonstationary property of moment statistics with roughly observed discrete level data

By Nishimura Kiminobu Ohta Mitsuo

INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Vol. 1985, Iss. 2, 1985-09 ,pp. : 1371-1374

Institute of Noise Control Engineering

Access to resources Recommend Favorite

Method for prediction of pipe noise

By Holmberg Lars

INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Vol. 1990, Iss. 3, 1990-08 ,pp. : 915-918

Institute of Noise Control Engineering

Access to resources Recommend Favorite

A method for the prediction of impact noise

By Tadeusz Uhl

INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Vol. 1988, Iss. 5, 1988-08 ,pp. : 363-366

Institute of Noise Control Engineering

Access to resources Recommend Favorite