Probabilistic Prediction of Protein Phosphorylation Sites Using Classification Relevance Units Machines

ACM SIGAPP Applied Computing Review
doi 10.1145/2432546.2432547
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Association for Computing Machinery (ACM)

Related search

Protein Function Prediction Using Multilabel Ensemble Classification

IEEE/ACM Transactions on Computational Biology and Bioinformatics
BiotechnologyApplied MathematicsGenetics
2013English

Enhanced Performance in Prediction of Protein Active Sites With THEMATICS and Support Vector Machines

Protein Science
BiochemistryMedicineMolecular Biology
2008English

Probabilistic Graphical Models for Protein Structure Prediction

English

Sequence-Based Prediction of Protein-Peptide Binding Sites Using Support Vector Machine

Journal of Computational Chemistry
Computational MathematicsChemistry
2016English

Link Prediction Using a Probabilistic Description Logic

Journal of the Brazilian Computer Society
Computer Science
2013English

Identification, Analysis, and Prediction of Protein Ubiquitination Sites

Proteins: Structure, Function and Genetics
BiochemistryStructural BiologyMolecular Biology
2010English

Segmentation of Global Motion Using Temporal Probabilistic Classification

1998English

Weldability Prediction of AHSS Stackups Using Support Vector Machines

International Journal of Computer and Electrical Engineering
2014English

Adaptive Nearest Neighbor Classification Using Support Vector Machines

2002English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy