maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments (Q48457269)

11 February 2018

title

maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments (English)

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11 February 2018

author

Ana Conesa

1

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María José Nueda

2

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Alberto Ferrer

object named as

Alberto Ferrer

3

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author name string

Manuel Talón

4

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11 February 2018

language of work or name

English

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publication date

15 February 2006

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11 February 2018

number of pages

7

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based on heuristic

inferred from page(s)

published in

Bioinformatics

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volume

22

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issue

9

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page(s)

1096-1102

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Comparing the continuous representation of time-series expression profiles to identify differentially expressed genes

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21 January 2018

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Clustering of time-course gene expression data using a mixed-effects model with B-splines

21 January 2018

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Analysis of temporal gene expression profiles: clustering by simulated annealing and determining the optimal number of clusters

21 January 2018

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A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments

21 January 2018

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Gene selection and clustering for time-course and dose-response microarray experiments using order-restricted inference

21 January 2018

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Identifying differentially expressed genes using false discovery rate controlling procedures

21 January 2018

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

21 January 2018

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Significance analysis of microarrays applied to the ionizing radiation response

21 January 2018

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A regression-based method to identify differentially expressed genes in microarray time course studies and its application in an inducible Huntington's disease transgenic model

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10.1093/BIOINFORMATICS/BTL056

21 January 2018

Identifiers

DOI

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11 February 2018

journals/bioinformatics/ConesaNFT06

DBLP publication ID

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DBLP Dataset 2021-01-02

28 January 2021

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11 February 2018