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7 in total

1. Combined neuroimaging and gene expression analysis of the genetic basis of brain plasticity indicates across species homology.

Authors: Yonatan Dinai; Lior Wolf; Yaniv Assaf
Journal: Hum Brain Mapp Date: 2014-07-22 Impact factor: 5.038

2. Frequency-based time-series gene expression recomposition using PRIISM.

Authors: Bruce A Rosa; Yuhua Jiao; Sookyung Oh; Beronda L Montgomery; Wensheng Qin; Jin Chen
Journal: BMC Syst Biol Date: 2012-06-15

3. Arrow plot: a new graphical tool for selecting up and down regulated genes and genes differentially expressed on sample subgroups.

Authors: Carina Silva-Fortes; Maria Antónia Amaral Turkman; Lisete Sousa
Journal: BMC Bioinformatics Date: 2012-06-26 Impact factor: 3.169

4. Normalization of low-density microarray using external spike-in controls: analysis of macrophage cell lines expression profile.

Authors: Paolo Fardin; Stefano Moretti; Barbara Biasotti; Annamaria Ricciardi; Stefano Bonassi; Luigi Varesio
Journal: BMC Genomics Date: 2007-01-17 Impact factor: 3.969

ROC curves are a suitable and flexible tool for the analysis of gene expression profiles.

1. Combined neuroimaging and gene expression analysis of the genetic basis of brain plasticity indicates across species homology.

2. Frequency-based time-series gene expression recomposition using PRIISM.

3. Arrow plot: a new graphical tool for selecting up and down regulated genes and genes differentially expressed on sample subgroups.

4. Normalization of low-density microarray using external spike-in controls: analysis of macrophage cell lines expression profile.

5. Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.

6. Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments.

7. A weighted average difference method for detecting differentially expressed genes from microarray data.