Expander version 4.1 includes the following improvements: ========================================================= 1) Ability to search for a particular gene in a session (all solutions). 2) An option to divide values in all/some columns by values in one base column. 3) Ability to load Affymetrix detection call data along with the expression data. This information appears in several visualizations and can be used to filter the data. 4) Additional information has been added to all enrichment displays (a sortable table tab with all detected enrichments). 5) Ability to define a gene set by searching for probes, that have expression patterns similar to the pattern of a selected probe. 6) A Similarity matrix view has been added for probes and conditions within a cluster. 7) A general enrichment analysis module has been added, for detecting enriched categories in gene sets, based on a gene-category file provided as input (using hyper geometric probability with optional Bonferroni correction for multiple testing). 8) Ability to label (name) gene sets, clusters and bi-clusters. 9) An option to unite rows of the same gene into one row with gene ID as identifier (switch from probes to genes). 10) The default background set selection was changed from 'Original Data' to 'All Genes'. This gives more statistical power to the group analysis when loading gene sets. Updates released after 4.0: =========================== 4.0.3: A bug causing failure in opening TFBS viewer has been fixed. Partial support for e.coli has been added (does not include TF fingerprints data). A bug in the t-test filter has been corrected. 4.0.2: A bug causing the program to hang (get stuck) in some cases of generating a Histogram/chart display has been fixed. A bug allowing preprocessing operations after performing Tango on the filtered dataset has been fixed. The gotypes.txt file, relevant for group annotation analysis (TANGO) has been updated. 4.0.1: A bug causing failure in loading .cel files has been fixed. Expander version 4.0 includes the following improvements: ========================================================= 1) Ability to load and analyze data in .cel files format 2) Missing value estimation using the KNN (K-Nearest Neighbors) algorithm 3) T-test statistics 4) Condition merge utility (calculating an average profile from a set of condition profiles) 5) Ability to perform log2 operation on the data at the time of the analysis 6) Ability to run SAMBA and CLICK on large datasets 7) Improved color scale range control 8) Symbol auto fill according to gene Ids 9) Annotation files update 10) Data for Chicken 11) Expanded promoter analysis range