AIMC Topic: Benchmarking

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iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines.

Molecular bioSystems Jul 25, 2017
Protein phosphorylation plays a potential role in regulating protein conformation and functions. As a result, identifying an uncharacterized protein sequence as a phosphorylated protein is a very meaningful problem and an urgent issue for both basic ...
Humans Software Computational Biology Support Vector Machine Protein Processing, Post-Translational Proteins Phosphorylation Internet Benchmarking Datasets as Topic Tyrosine Serine Threonine
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An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.

Molecular bioSystems Jul 25, 2017
Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a cell. The available machine learning techniques for essential gene prediction have inherent problems...
Machine Learning Phenotype Genotype Genes, Essential Metabolic Networks and Pathways Benchmarking Helicobacter pylori Datasets as Topic Codon Caulobacteraceae Escherichia coli K12 Base Composition
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