Version 1.0.3

Fixes issues with heatmap visualization and export.

Version 1.0.2

Fixes missing sample annotation columns in output .gct files.

Version 1.0.1 hotfix

Fixes issue with saving sample annotation information in .gct files

Version 1.0.1

• Blanks ("") are now read in as blanks rather than missing values. This is important to retain sample annotation information from .gct files.
• When not performing statistics (statistical test set to "none"), the expression values in the .gct file are no longer repeated twice.
• The export template file is now fixed to contain NA (missing values) rather than blanks.
• Multiple characters such as "na" (and all capitalization variations of NA) are classified as missing values.

Version 1.0

• Heatmap export is now fixed.
• App no longer crashes when attempting to export all the files without performing statistics (statistical test set to "none").
• For non-gct files, the experimental design file has been streamlined. Users may still download the template experimental design file for use with Protigy. Alternatively, a experimental design file with any number of sample annotations and any type of text delimter (tab-delimited, comma-separated, etc) may be uploaded by the user as long as the first column of the design file contains the sample (column) names. These must match the column names of the table exactly.
• Non-gct file users may now select the columns they wish to use for statistical analysis and/or group-wise normalization using drop-down menus as they would for a .gct file.
• Help text now says to refresh the page to start a new session. F5 is a Windows-only shortcut and not applicable for all users.
• Blanks ("") are now read in as missing values (NA) rather than characters.

Version 0.9.1.5

Version 0.9.1.5 update:

• Now accepts a third annotation column to denote group-wise normalization separately from groups for statistical testing.
• Fixes an issue with missing sample annotations. Previously, samples with missing annotations were sometimes included in the analysis. Now, samples with missing annotations are not included in any part of the analysis.
• Other quality of life changes, such as automatically adjusting plot axes to specify the type of p-value used (non-adjusted vs adjusted)
• Improved help text in various regions of the application.