Ever‐growing data sets pose (new) challenges to genomic prediction models

Publisher： John Wiley & Sons Inc

E-ISSN： 1439-0388|132|6|407-408

ISSN： 0931-2668

Source： JOURNAL OF ANIMAL BREEDING AND GENETICS, Vol.132, Iss.6, 2015-12, pp. : 407-408

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

Ionic Liquids 2014 and Selected Papers from ILMAT 2013: Highlighting the Ever-Growing Potential of Ionic Liquids

By Vioux André   Taubert Andreas  

International Journal of Molecular Sciences, Vol. 15, Iss. 12, 2014-12 ,pp. : 22815-22818

MDPI

Access to resources Recommend Favorite

Prediction of Protein Essentiality Based on Genomic Data

By  

Complexus, Vol. 1, Iss. 1, 2002-12 ,pp. : 19-28

Karger

Access to resources Recommend Favorite

An Agent-Based Model to Associate Genomic and Environmental Data for Phenotypic Prediction in Plants

By  

Current Bioinformatics, Vol. 11, Iss. 5, 2016-11 ,pp. : 515-522

Bentham Science Publishers

Access to resources Recommend Favorite

Chronobiological analysis of superimposed period data sets using bivariate cosine series models

By Koch Horst Josef  

Biological Rhythm Research, Vol. 38, Iss. 2, 2007-04 ,pp. : 119-126

Taylor & Francis Ltd

Access to resources Recommend Favorite

Catching genomic rearrangements in the act: Integrating DNA breakage models and functional genomics data

By  

BIOESSAYS (ELECTRONIC), Vol. 37, Iss. 5, 2015-05 ,pp. : 470-471

John Wiley & Sons Inc

Access to resources Recommend Favorite