PCA-HPR: a principle component analysis model for human promoter recognition.
about
Towards accurate human promoter recognition: a review of currently used sequence features and classification methods.IN-MACA-MCC: Integrated Multiple Attractor Cellular Automata with Modified Clonal Classifier for Human Protein Coding and Promoter Prediction.Dimensionality reduction and topographic mapping of binary tensors
P2860
PCA-HPR: a principle component analysis model for human promoter recognition.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
PCA-HPR: a principle component analysis model for human promoter recognition.
@en
PCA-HPR: a principle component analysis model for human promoter recognition.
@nl
type
label
PCA-HPR: a principle component analysis model for human promoter recognition.
@en
PCA-HPR: a principle component analysis model for human promoter recognition.
@nl
prefLabel
PCA-HPR: a principle component analysis model for human promoter recognition.
@en
PCA-HPR: a principle component analysis model for human promoter recognition.
@nl
P2093
P2860
P356
P1433
P1476
PCA-HPR: a principle component analysis model for human promoter recognition.
@en
P2093
P2860
P304
P356
10.6026/97320630002373
P577
2008-06-19T00:00:00Z