Name
Title | ||
|---|---|---|
Statistical Methods for Detecting Latent Periodicity in Biological Sequences: Solving a Problem of Small-Size Samples |
Abstract | ||
|---|---|---|
An original spectral-statistical approach for detecting latent periodicity in biological sequences is proposed. This approach can be applied under conditions of limited statistical sample. It allows one to avoid redundancy and instability when identifying the latent periodicity structure. The results of spectral-statistical approach application for latent periodicity search in genomes of model organisms are collected in the HETEROGENE databasehttp://www.jcbi.ru/ lp baze/ . |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/BIBM.2009.22 | Washington, DC |
Keywords | Field | DocType |
heterogene databasehttp,detectinglatent periodicity,resultsof spectral-statistical approach application,statistical methods,small-size samples,detecting latent periodicity,model organismsare,biological sequences,original spectral-statistical approach,conditionsof limited statistical sample,identifyingthe latent periodicity structure,biological sequence,lp baze,latentperiodicity search,genomes,testing,statistical analysis,dna,bioinformatics,databases,genomics | Genome,Sample (statistics),Computer science,Genomics,Redundancy (engineering),Bioinformatics,Statistical analysis | Conference |
ISSN | ISBN | Citations |
2156-1125 | 978-0-7695-3885-3 | 0 |
PageRank | References | Authors |
0.34 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Chaley | 1 | 1 | 0.69 |
| N N Nazipova | 2 | 1 | 1.14 |
| E. Teplukhina | 3 | 0 | 0.34 |
| G. Tyulbasheva | 4 | 0 | 0.34 |
| Vladimir Kutyrkin | 5 | 1 | 0.69 |