High-order neural networks and kernel methods for peptide-MHC binding prediction.
about
Sequence-based prediction of protein protein interaction using a deep-learning algorithm.HLA class I binding prediction via convolutional neural networks.Opportunities and obstacles for deep learning in biology and medicine.Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences
P2860
High-order neural networks and kernel methods for peptide-MHC binding prediction.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
High-order neural networks and kernel methods for peptide-MHC binding prediction.
@en
type
label
High-order neural networks and kernel methods for peptide-MHC binding prediction.
@en
prefLabel
High-order neural networks and kernel methods for peptide-MHC binding prediction.
@en
P2093
P2860
P356
P1433
P1476
High-order neural networks and kernel methods for peptide-MHC binding prediction.
@en
P2093
Martin Renqiang Min
Pavel P Kuksa
Rishabh Dugar
P2860
P304
P356
10.1093/BIOINFORMATICS/BTV371
P407
P577
2015-07-23T00:00:00Z