Cargando…

Hierarchical Ensemble Methods for Protein Function Prediction

Protein function prediction is a complex multiclass multilabel classification problem, characterized by multiple issues such as the incompleteness of the available annotations, the integration of multiple sources of high dimensional biomolecular data, the unbalance of several functional classes, and...

Descripción completa

Detalles Bibliográficos
Autor principal:	Valentini, Giorgio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2014
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393075/ https://www.ncbi.nlm.nih.gov/pubmed/25937954 http://dx.doi.org/10.1155/2014/901419

Ejemplares similares

Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods
por: Notaro, Marco, et al.
Publicado: (2017)

Predicting gene function in a hierarchical context with an ensemble of classifiers
por: Guan, Yuanfang, et al.
Publicado: (2008)

Predicting gene function using hierarchical multi-label decision tree ensembles
por: Schietgat, Leander, et al.
Publicado: (2010)

A hierarchical GAN method with ensemble CNN for accurate nodule detection
por: Rezaei, Seyed Reza, et al.
Publicado: (2022)

Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
por: Bulashevska, Alla, et al.
Publicado: (2006)

Hierarchical Classification of Protein Folds Using a Novel Ensemble Classifier
por: Lin, Chen, et al.
Publicado: (2013)

Hierarchical Self-Assembled Peptide Nano-ensembles
por: Kumaraswamy, Priyadharshini, et al.
Publicado: (2014)

Prediction of protein-protein interaction sites using an ensemble method
por: Deng, Lei, et al.
Publicado: (2009)

Ensemble method for dengue prediction
por: Buczak, Anna L., et al.
Publicado: (2018)

Analytical methods for structural ensembles and dynamics of intrinsically disordered proteins
por: Schor, Marieke, et al.
Publicado: (2016)

Predicting protein functions using incomplete hierarchical labels
por: Yu, Guoxian, et al.
Publicado: (2015)

An Ensemble Method for Predicting Subnuclear Localizations from Primary Protein Structures
por: Han, Guo Sheng, et al.
Publicado: (2013)

Large-scale protein function prediction using heterogeneous ensembles
por: Wang, Linhua, et al.
Publicado: (2018)

The PFP and ESG protein function prediction methods in 2014: effect of database updates and ensemble approaches
por: Khan, Ishita K., et al.
Publicado: (2015)

DMENet: Diabetic Macular Edema diagnosis using Hierarchical Ensemble of CNNs
por: Singh, Rajeev Kumar, et al.
Publicado: (2020)

The Evolution of Protein Structures and Structural Ensembles Under Functional Constraint
por: Siltberg-Liberles, Jessica, et al.
Publicado: (2011)

Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised models
por: Silva, Samuel Henrique, et al.
Publicado: (2022)

Integration of relational and hierarchical network information for protein function prediction
por: Jiang, Xiaoyu, et al.
Publicado: (2008)

Deep Hierarchical Ensemble Model for Suicide Detection on Imbalanced Social Media Data
por: Li, Zepeng, et al.
Publicado: (2022)

Hierarchical graph transformer with contrastive learning for protein function prediction
por: Gu, Zhonghui, et al.
Publicado: (2023)

Profiles and Majority Voting-Based Ensemble Method for Protein Secondary Structure Prediction
por: Bouziane, Hafida, et al.
Publicado: (2011)

Protein Fitness Prediction Is Impacted by the Interplay of Language Models, Ensemble Learning, and Sampling Methods
por: Mardikoraem, Mehrsa, et al.
Publicado: (2023)

Reduction strategies for hierarchical multi-label classification in protein function prediction
por: Cerri, Ricardo, et al.
Publicado: (2016)

Ensemble learning method for the prediction of new bioactive molecules
por: Afolabi, Lateefat Temitope, et al.
Publicado: (2018)

Protein ensembles link genotype to phenotype
por: Nussinov, Ruth, et al.
Publicado: (2019)

Prediction of Hepatitis disease using ensemble learning methods
por: MAJZOOBI, MOHAMMAD MAHDI, et al.
Publicado: (2022)

Ensemble Learning for Disease Prediction: A Review
por: Mahajan, Palak, et al.
Publicado: (2023)

JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method
por: Zhang, Lina, et al.
Publicado: (2015)

A Novel Ensemble Learning-Based Computational Method to Predict Protein-Protein Interactions from Protein Primary Sequences
por: Pan, Jie, et al.
Publicado: (2022)

Predicting Protein Function with Hierarchical Phylogenetic Profiles: The Gene3D Phylo-Tuner Method Applied to Eukaryotic Genomes
por: Ranea, Juan A. G, et al.
Publicado: (2007)

Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction
por: Qu, Yang, et al.
Publicado: (2023)

Hierarchical methods
por: Kulish, Victor V
Publicado: (2004)

Hierarchical methods
por: Kulish, Victor V
Publicado: (2002)

Hierarchical Boosting Dual-Stage Feature Reduction Ensemble Model for Parkinson’s Disease Speech Data
por: Yang, Mingyao, et al.
Publicado: (2021)

Elucidating the ensemble of functionally-relevant transitions in protein systems with a robotics-inspired method
por: Molloy, Kevin, et al.
Publicado: (2013)

Hot spot prediction in protein-protein interactions by an ensemble system
por: Liu, Quanya, et al.
Publicado: (2018)

Protein conformational ensembles in function: roles and mechanisms
por: Nussinov, Ruth, et al.
Publicado: (2023)

HPOSS: A hierarchical portfolio optimization stacking strategy to reduce the generalization error of ensembles of models
por: Ozelim, Luan Carlos de Sena Monteiro, et al.
Publicado: (2023)

A Retrospective on the Development of Methods for the Analysis of Protein Conformational Ensembles
por: Hayward, Steven
Publicado: (2023)

AutoPPI: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction
por: Czibula, Gabriela, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_8ltpsg1l1063aeagrffajgus9g