Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins.

Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins.

Item
http://www.wikidata.org/entity/Q40085561
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers.RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approachIdentification of high-confidence RNA regulatory elements by combinatorial classification of RNA-protein binding sites.Towards enhanced and interpretable clustering/classification in integrative genomics.Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks.SARNAclust: Semi-automatic detection of RNA protein binding motifs from immunoprecipitation data.Matrix Integrative Analysis (MIA) of Multiple Genomic Data for Modular Patterns.Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks.
P2860

Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins.

Item
http://www.wikidata.org/entity/Q40085561
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Orthogonal matrix factorizatio ...... multiple RNA binding proteins.
@en
type
label
Orthogonal matrix factorizatio ...... multiple RNA binding proteins.
@en
prefLabel
Orthogonal matrix factorizatio ...... multiple RNA binding proteins.
@en
P1433
P1476
P2093
P2860
P304
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Orthogonal matrix factorizatio ...... multiple RNA binding proteins.
@en
P2093
P2860
P304
P31
P356
10.1093/BIOINFORMATICS/BTW003
P407
P433
P478
P50
P577
P5875
P698
P921
P932