MANTIS: a data mining methodology for effective translation initiation site prediction.
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Improvement in the prediction of the translation initiation site through balancing methods, inclusion of acquired knowledge and addition of features to sequences of mRNA.Regulation of translation by upstream translation initiation codons of surfactant protein A1 splice variants.Transductive learning as an alternative to translation initiation site identification.
P2860
MANTIS: a data mining methodology for effective translation initiation site prediction.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
MANTIS: a data mining methodology for effective translation initiation site prediction.
@ast
MANTIS: a data mining methodology for effective translation initiation site prediction.
@en
type
label
MANTIS: a data mining methodology for effective translation initiation site prediction.
@ast
MANTIS: a data mining methodology for effective translation initiation site prediction.
@en
prefLabel
MANTIS: a data mining methodology for effective translation initiation site prediction.
@ast
MANTIS: a data mining methodology for effective translation initiation site prediction.
@en
P1476
MANTIS: a data mining methodology for effective translation initiation site prediction.
@en
P2093
Christos Berberidis
George Tzanis
P304
P356
10.1109/IEMBS.2007.4353806
P407
P577
2007-01-01T00:00:00Z