A sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction ; volume:18 ; number:16 ; day:28 ; month:12 ; year:2017 ; pages:211-220 ; date:12.2017
BMC bioinformatics ; 18, Heft 16 (28.12.2017), 211-220, 12.2017
- Klassifikation
-
Biowissenschaften, Biologie
- Urheber
-
Deng, Lei
- Beteiligte Personen und Organisationen
-
Fan, Chao
Zeng, Zhiwen
SpringerLink (Online service)
- DOI
-
10.1186/s12859-017-1971-7
- URN
-
urn:nbn:de:1111-2018022211046
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:50 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Deng, Lei
- Fan, Chao
- Zeng, Zhiwen
- SpringerLink (Online service)
Ähnliche Objekte (12)
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
Predicting circRNA-drug sensitivity associations via graph attention auto-encoder
Divergent models of soil organic carbon sequestration related to vegetation restoration
Interactions between Blastocystis subtype ST4 and gut microbiota in vitro
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost
Quan kuan guan jie zhi huan : zhi huan ji shu he ju bu bing fa zheng
Enhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient Boosting
Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous network
Prediction of lncRNA functions using deep neural networks based on multiple networks
Infection with pathogenic Blastocystis ST7 is associated with decreased bacterial diversity and altered gut microbiome profiles in diarrheal patients
MultiSourcDSim: an integrated approach for exploring disease similarity
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
Predicting circRNA-drug sensitivity associations via graph attention auto-encoder
Divergent models of soil organic carbon sequestration related to vegetation restoration
Interactions between Blastocystis subtype ST4 and gut microbiota in vitro
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost
Quan kuan guan jie zhi huan : zhi huan ji shu he ju bu bing fa zheng
Enhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient Boosting
Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous network
Prediction of lncRNA functions using deep neural networks based on multiple networks
Infection with pathogenic Blastocystis ST7 is associated with decreased bacterial diversity and altered gut microbiome profiles in diarrheal patients
MultiSourcDSim: an integrated approach for exploring disease similarity
PredRSA: a gradient boosted regression trees approach for predicting protein solvent accessibility
Predicting circRNA-drug sensitivity associations via graph attention auto-encoder
Divergent models of soil organic carbon sequestration related to vegetation restoration
Interactions between Blastocystis subtype ST4 and gut microbiota in vitro
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost
Quan kuan guan jie zhi huan : zhi huan ji shu he ju bu bing fa zheng
Enhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient Boosting
Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk
CRPGCN: predicting circRNA-disease associations using graph convolutional network based on heterogeneous network
Prediction of lncRNA functions using deep neural networks based on multiple networks
Infection with pathogenic Blastocystis ST7 is associated with decreased bacterial diversity and altered gut microbiome profiles in diarrheal patients