A deep learning framework for modeling structural features of RNA-binding protein targets.
about
Sequence-based prediction of protein protein interaction using a deep-learning algorithm.A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machineDeep learning for computational chemistry.Bioinformatic tools for analysis of CLIP ribonucleoprotein dataTranscriptomic analyses of RNA-binding proteins reveal eIF3c promotes cell proliferation in hepatocellular carcinoma.Template-Based Modeling of Protein-RNA InteractionsRectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data.RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approachA deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data.The Next Era: Deep Learning in Pharmaceutical Research.TITER: predicting translation initiation sites by deep learning.Particle swarm optimization-based automatic parameter selection for deep neural networks and its applications in large-scale and high-dimensional data.Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells.Deep Learning and its Applications in Biomedicine.SARNAclust: Semi-automatic detection of RNA protein binding motifs from immunoprecipitation data.Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks.Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences
P2860
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P2860
A deep learning framework for modeling structural features of RNA-binding protein targets.
description
2015 nî lūn-bûn
@nan
2015 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
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
name
A deep learning framework for ...... f RNA-binding protein targets.
@ast
A deep learning framework for ...... f RNA-binding protein targets.
@en
type
label
A deep learning framework for ...... f RNA-binding protein targets.
@ast
A deep learning framework for ...... f RNA-binding protein targets.
@en
prefLabel
A deep learning framework for ...... f RNA-binding protein targets.
@ast
A deep learning framework for ...... f RNA-binding protein targets.
@en
P2093
P2860
P356
P1476
A deep learning framework for ...... f RNA-binding protein targets.
@en
P2093
Chao Cheng
Haipeng Gong
Jianyang Zeng
Jingtian Zhou
Ligong Chen
P2860
P356
10.1093/NAR/GKV1025
P407
P577
2015-10-13T00:00:00Z