Bayesian detection of periodic mRNA time profiles without use of training examples. - Wikidata - awgldk - TriplyDB

Bayesian detection of periodic mRNA time profiles without use of training examples.

Bayesian detection of periodic mRNA time profiles without use of training examples.

http://www.wikidata.org/entity/Q33233549

about

ProbCD: enrichment analysis accounting for categorization uncertainty Cyclebase.org a comprehensive multi-organism online database of cell-cycle experiments Spectral estimation in unevenly sampled space of periodically expressed microarray time series data Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data.Revealing cell cycle control by combining model-based detection of periodic expression with novel cis-regulatory descriptors Bayesian detection of non-sinusoidal periodic patterns in circadian expression data.Extraction of mRNA from soil Modified method for the extraction of mRNA from paddy soils.

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P2860

Bayesian detection of periodic mRNA time profiles without use of training examples.

http://www.wikidata.org/entity/Q33233549

description

2006 nî lūn-bûn

@nan

2006 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2006 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2006年の論文

@ja

2006年論文

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2006年論文

@zh-hant

2006年論文

@zh-hk

2006年論文

@zh-mo

2006年論文

@zh-tw

2006年论文

@wuu

name

Bayesian detection of periodic mRNA time profiles without use of training examples.

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Bayesian detection of periodic mRNA time profiles without use of training examples.

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type

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Bayesian detection of periodic mRNA time profiles without use of training examples.

@ast

Bayesian detection of periodic mRNA time profiles without use of training examples.

@en

prefLabel

Bayesian detection of periodic mRNA time profiles without use of training examples.

@ast

Bayesian detection of periodic mRNA time profiles without use of training examples.

@en

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BMC Bioinformatics

P1476

Bayesian detection of periodic mRNA time profiles without use of training examples.

@en

P2093

Claes R Andersson

http://www.w3.org/2001/XMLSchema#string

Mats G Gustafsson

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P2860

Gene ontology: tool for the unification of biology

Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization

Computational identification of cis-regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae

Identifying regulatory networks by combinatorial analysis of promoter elements

Orchestrated response: a symphony of transcription factors for gene control

A genome-wide transcriptional analysis of the mitotic cell cycle

Comparison of computational methods for the identification of cell cycle-regulated genes

Dynamic modeling of gene expression data.

Statistical modeling of large microarray data sets to identify stimulus-response profiles

A multivariate approach applied to microarray data for identification of genes with cell cycle-coupled transcription.

P2888

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63

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scholarly article

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10.1186/1471-2105-7-63

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7

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Anders Isaksson

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2006-02-09T00:00:00Z

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7305560

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16469110

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1413563

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