Skip to main content

Table 1 Comparison of functionalities among AMDA and other software that perform a full microarray data-analysis The functionalities provided by AMDA are reported in the first column, with comment or list of methods or DBs where necessary. The remaining columns show whether other software that perform a full microarray data-analysis provided the same features. A plus indicate that the software provides it and, when applicable, the same set of methods. A minus indicates that the functionality is not provided. Text is used to report in case the provided features are different. Finally, italic text is used to identify functionalities for which the provided methods are a sub-set of those available in AMDA.

From: AMDA: an R package for the automated microarray data analysis

AMDA

GenePublisher12

ExpressionProfiler5

GEPAS4

Array Pipe6

Race7

Midaw8

Sykaceket al.9

widget interface

+

a web page for each tool

a web page for each tool

a web page for each tool

a web page for each tool

a web page for each tool

-

analysis of CEL files (signal,rma,gcrma,mbei)

mbei

+

+

no Affymetrix

+

no Affymetrix

no Affymetrix

quality controls

-

-

+

+

+

+

-

non-linear array normalization (quantile, qspline)

qspline

quantile

+

+

quantile

-

house keeping and spike RNA

array hierarchical clustering

+

+

+

-

-

+

-

replicates' scatter plot

all pairs

-

manually

-

-

-

-

support of many experimental designs (common ref, time-course, 2 common ref, 2 time-course)

only common reference

manually with limma

two class or multi-class

-

only two class comparison

only two class comparison

only balanced reference design

method for DEG selection (plgem, sam, FC, limma)

t-test with BH correction

limma, t-test

t-test, anova, clear test

t-test and method specific for spotted array

empirical bayes

FC, t-test. sam

mixed anova model

selection of many DEG methods

-

-

-

-

-

-

-

DEG heat-map

+

+

not linked to DEG selection

-

-

not linked to DEG selection

-

gene normalization

+

+

+

-

-

+

-

DEG clustering

+

+

not linked to DEG selection

-

-

not linked to DEG selection

-

silhouette-evaluation of clusters

+

-

-

-

-

-

-

functional evaluation of clusters (GO, KEGG, user-families)

-

GO and signature algorithm

not linked to clusters selection, no user-families

-

-

-

-

functional evaluation of DEG (GO, KEGG, user-families)

GO, KEGG

GO and signature algorithm

not linked to DEG selection, no user-families

only export of annotated gene lists

GO

-

-

functional summary

-

-

-

-

-

-

-

writing of annotated gene lists

-

-

-

-

-

-

-

correspondence analysis (bi-plot of arrays and genes)

PCA(only arrays)

+

-

-

-

PCA(only arrays)

-

dynamic PDF generation

+

-

-

-

-

-

-

flexible work-flow

-

+

+

+

-

-

-

automation

+

-

-

-

-

-

-

other tools not available in AMDA, notes

array classification, promoter analysis, prediction of orphan function

support to not affy, chr.local and sequence analysis

numerous independent tools

-

-

discriminant analysis (PAM)

imputation of missing values