Knowledge Center Catalog

Technical Note: (Record no. 30436)

MARC details
000 -LEADER
fixed length control field 02106nab a22003977a 4500
001 - CONTROL NUMBER
control field G98566
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919020947.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121211b |||p||p||||||| |z||| |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1525-3163 (Revista en electrónico)
022 0# - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0021-8812
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.2527/jas.2012-6162
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title En
100 1# - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 2703
Personal name Perez-Rodriguez, P.
245 00 - TITLE STATEMENT
Title Technical Note:
Remainder of title An R package for fitting Bayesian regularized neural networks with applications in animal breeding
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc. 2013
500 ## - GENERAL NOTE
General note Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0021-8812
520 ## - SUMMARY, ETC.
Summary, etc. In recent years, several statistical models have been developed for predicting genetic values for complex traits using information on dense molecular markers, pedigrees or both. These models include, among others, the Bayesian Regularized Neural Networks (BRNN) that have been widely used in prediction problems in other fields of application and, more recently, for genome-enabled prediction. The R brnn package described here implements BRNN models and extends these to include both additive and dominance effects. The implementation takes advantage of multicore architectures via a parallel computing approach using openMP (Open Multiprocessing) for the computations. This note briefly describes the classes of models that can be fitted using the brnn package, and it also illustrates its use through several real examples.
536 ## - FUNDING INFORMATION NOTE
Text of note Genetic Resources Program
546 ## - LANGUAGE NOTE
Language note English
594 ## - STAFFID
StaffID CCJL01
595 ## - COLLECTION
Collection CIMMYT Staff Publications Collection
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Animal model
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BRNN
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element dominance and additive effects
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genomic selection
9 (RLIN) 1513
650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element non-parametric models
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gianola, D.,
Relator term coaut.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rosa, G.J.M.,
Relator term coaut.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Weigel, K.A.,
Relator term coaut.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crossa, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number CCJL01
9 (RLIN) 59
773 0# - HOST ITEM ENTRY
Title Journal of Animal Science
Related parts v. 91, no. 8, p. 3522-3531
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
07/03/2017   07/03/2017 Article Not Lost     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 07/03/2017

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