Can Power Laws Help Us Understand Gene and Proteome Information? - Wikidata - wikimedia - TriplyDB

Can Power Laws Help Us Understand Gene and Proteome Information?

Can Power Laws Help Us Understand Gene and Proteome Information?

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Dynamical analysis and visualization of tornadoes time series.Protein sequence classification with improved extreme learning machine algorithms.On Classification of PDZ Domains: A Computational Study

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Can Power Laws Help Us Understand Gene and Proteome Information?

http://www.wikidata.org/entity/Q58918901

description

article

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wetenschappelijk artikel

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наукова стаття, опублікована у 2013

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name

Can Power Laws Help Us Understand Gene and Proteome Information?

@en

Can Power Laws Help Us Understand Gene and Proteome Information?

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Can Power Laws Help Us Understand Gene and Proteome Information?

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Can Power Laws Help Us Understand Gene and Proteome Information?

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Can Power Laws Help Us Understand Gene and Proteome Information?

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Can Power Laws Help Us Understand Gene and Proteome Information?

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Advances in Mathematical Physics

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Can Power Laws Help Us Understand Gene and Proteome Information?

@en

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Maria Dulce Quelhas

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Birth and death of protein domains: a simple model of evolution explains power law behavior.

Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing

Divergence measures based on the Shannon entropy

Comparison study on k-word statistical measures for protein: from sequence to 'sequence space'.

From genomics to proteomics.

Information content of protein sequences.

Alignment-free sequence comparison-a review.

A study of residue correlation within protein sequences and its application to sequence classification.

Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.

Histogram-based DNA analysis for the visualization of chromosome, genome and species information.

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1-10

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scholarly article

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10.1155/2013/917153

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2013

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Jose Tenreiro Machado

António C. Costa

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2013-01-01T00:00:00Z

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