Natural vs. random protein sequences: the novel neural network approach based on time series analysis

Alexei Tsygvintsev

doi:10.1007/s42485-020-00029-8

Journal Articles Journal of Proteins and Proteomics Year : 2020

Natural vs. random protein sequences: the novel neural network approach based on time series analysis

(1)

1

Alexei Tsygvintsev

Function : Author
PersonId : 740905
IdHAL : alexei-tsygvintsev
ORCID : 0000-0002-8744-4100
IdRef : 161467342

Unité de Mathématiques Pures et Appliquées

Domains

Nonlinear Sciences [physics] Computer Science [cs]

Alexei Tsygvintsev : Connect in order to contact the contributor

https://hal-ens-lyon.archives-ouvertes.fr/ensl-03051811

Submitted on : Thursday, December 10, 2020-12:28:08 PM

Last modification on : Friday, December 11, 2020-3:31:40 AM

Dates and versions

ensl-03051811 , version 1 (10-12-2020)

Identifiers

HAL Id : ensl-03051811 , version 1
DOI : 10.1007/s42485-020-00029-8

Cite

Alexei Tsygvintsev. Natural vs. random protein sequences: the novel neural network approach based on time series analysis. Journal of Proteins and Proteomics, 2020, 11 (1), pp.11-16. ⟨10.1007/s42485-020-00029-8⟩. ⟨ensl-03051811⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

ENS-LYON CNRS UDL

8 View

0 Download

Natural vs. random protein sequences: the novel neural network approach based on time series analysis

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Altmetric

Share