DNdisorder: predicting protein disorder using boosting and deep networks.
about
Deep learning for computational biology.An Overview of Predictors for Intrinsically Disordered Proteins over 2010-2014On the encoding of proteins for disordered regions prediction.PCP-ML: protein characterization package for machine learning.DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach.Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions.Estimation of Position Specific Energy as a Feature of Protein Residues from Sequence Alone for Structural ClassificationAccurate prediction of protein relative solvent accessibility using a balanced model.Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?DISOPRED3: precise disordered region predictions with annotated protein-binding activityA Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction.Performance of protein disorder prediction programs on amino acid substitutions.Boosting for high-dimensional two-class prediction.AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields.How disordered is my protein and what is its disorder for? A guide through the "dark side" of the protein universe.Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions.Improving Protein Fold Recognition by Deep Learning Networks.Deep learning methods for protein torsion angle prediction.DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields.Taxonomic Classification for Living Organisms Using Convolutional Neural Networks.A deep auto-encoder model for gene expression prediction.Deep Learning and its Applications in Biomedicine.
P2860
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P2860
DNdisorder: predicting protein disorder using boosting and deep networks.
description
2013 nî lūn-bûn
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2013 թուականի Մարտին հրատարակուած գիտական յօդուած
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2013 թվականի մարտին հրատարակված գիտական հոդված
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2013年の論文
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2013年論文
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2013年論文
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2013年論文
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2013年論文
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name
DNdisorder: predicting protein disorder using boosting and deep networks.
@ast
DNdisorder: predicting protein disorder using boosting and deep networks.
@en
type
label
DNdisorder: predicting protein disorder using boosting and deep networks.
@ast
DNdisorder: predicting protein disorder using boosting and deep networks.
@en
prefLabel
DNdisorder: predicting protein disorder using boosting and deep networks.
@ast
DNdisorder: predicting protein disorder using boosting and deep networks.
@en
P2860
P356
P1433
P1476
DNdisorder: predicting protein disorder using boosting and deep networks.
@en
P2093
Jianlin Cheng
P2860
P2888
P356
10.1186/1471-2105-14-88
P577
2013-03-06T00:00:00Z
P5875
P6179
1002302872