Some remarks on protein attribute prediction and pseudo amino acid composition (Q1670702)

scientific article; zbMATH DE number 6932442

Language	Label	Description	Also known as
English	Some remarks on protein attribute prediction and pseudo amino acid composition	scientific article; zbMATH DE number 6932442

Statements

instance of

scholarly article

0 references

title

Some remarks on protein attribute prediction and pseudo amino acid composition (English)

0 references

author

Kuo-Chen Chou

0 references

published in

Journal of Theoretical Biology

0 references

publication date

6 September 2018

0 references

full work available at URL

http://europepmc.org/articles/pmc7125570

0 references

zbMATH Keywords

PseAAC

0 references

functional domain mode

0 references

gene ontology mode

0 references

sequential evolution mode

0 references

cross-validation

0 references

describes a project that uses

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

0 references

Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates

0 references

Predicting membrane protein type by functional domain composition and pseudo-amino acid composition

0 references

Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition

0 references

Predicting protein structural class based on multi-features fusion

0 references

Using pseudo-amino acid composition and support vector machine to predict protein structural class

0 references

Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition

0 references

Nearest neighbor pattern classification

0 references

SubChlo: predicting protein subchloroplast locations with pseudo-amino acid composition and the evidence-theoretic \(K\)-nearest neighbor (ET-KNN) algorithm

0 references

Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses

0 references

Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition

0 references

\(\gamma\)-Turn types prediction in proteins using the support vector machines

0 references

\(\gamma\)-turn types prediction in proteins using the two-stage hybrid neural discriminant model

0 references

A classification-based prediction model of messenger RNA polyadenylation sites

0 references

The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition

0 references

Q5763589

0 references

Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification

0 references

Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices

0 references

Predicting DNA- and RNA-binding proteins from sequences with kernel methods

0 references

Predicting protein fold pattern with functional domain and sequential evolution information

0 references

Gneg-mPLoc: a top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins

0 references

Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition

0 references

A network-QSAR model for prediction of genetic-component biomarkers in human colorectal cancer

0 references

Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition

0 references

Geometry preserving projections algorithm for predicting membrane protein types

0 references

Statistics of local complexity in amino acid sequences and sequence databases

0 references

Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image

0 references

Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation

0 references

SecretP: identifying bacterial secreted proteins by fusing new features into Chou's pseudo-amino acid composition

0 references

Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach

0 references

Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern

0 references

Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes

0 references

Identifiers

zbMATH Open document ID

1405.92212

0 references

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

0 references

10.1016/J.JTBI.2010.12.024

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:1670702