(Q45967014)

18 December 2017

title

Support vector machines for predicting rRNA-, RNA-, and DNA-binding proteins from amino acid sequence. (English)

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18 December 2017

main subject

support vector machine

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1

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18 December 2017

author name string

Shuo Liang Lin

series ordinal

2

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18 December 2017

publication date

1 May 2003

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18 December 2017

number of pages

7

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Biochimica et Biophysica Acta

inferred from page(s)

published in

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18 December 2017

volume

1648

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18 December 2017

issue

1-2

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18 December 2017

page(s)

127-133

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18 December 2017

The genome of M. acetivorans reveals extensive metabolic and physiological diversity

cites work

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7 January 2021

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7 January 2021

Support vector machines for predicting protein structural class

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7 January 2021

Support Vector Machines for predicting HIV protease cleavage sites in protein.

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7 January 2021

Multi-class protein fold recognition using support vector machines and neural networks.

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7 January 2021

Knowledge-based analysis of microarray gene expression data by using support vector machines

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7 January 2021

Using pair-coupled amino acid composition to predict protein secondary structure content.

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https://api.crossref.org/works/10.1016%2FS1570-9639%2803%2900112-2

7 January 2021

Prediction of protein cellular attributes using pseudo-amino acid composition

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https://api.crossref.org/works/10.1016%2FS1570-9639%2803%2900112-2

7 January 2021

Clustering of highly homologous sequences to reduce the size of large protein databases

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https://api.crossref.org/works/10.1016%2FS1570-9639%2803%2900112-2

7 January 2021

Prediction of protein subcellular locations by incorporating quasi-sequence-order effect

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https://api.crossref.org/works/10.1016%2FS1570-9639%2803%2900112-2

7 January 2021

Complete genome sequence and comparative analysis of the metabolically versatile Pseudomonas putida KT2440

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https://api.crossref.org/works/10.1016%2FS1570-9639%2803%2900112-2

7 January 2021

Prediction of Human Protein Function from Post-translational Modifications and Localization Features

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https://api.crossref.org/works/10.1016%2FS1570-9639%2803%2900112-2

7 January 2021

10.1016/S1570-9639(03)00112-2

Identifiers

DOI

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18 December 2017

PubMed ID

12758155

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18 December 2017