Multi-Assay Behavioral Computational Tool

Prepare and inspect

• Open a behavioral-data workbook from the local computer.
• Inspect candidate sheets, dimensions, headers, and expected structure before running analysis.
• Refresh the workflow from selected sheets and confirm the analytical mode.
• Identify common structural issues such as missing columns, offset headers, text-formatted numbers, and inconsistent group labels.
• Save and reopen protected .behav project files for repeatable work.

Run and review

• Execute the established behavioral-analysis pipeline from a graphical interface.
• Follow run progress, stage information, and detailed logs.
• Browse audit summaries, domain and refined-feature statistics, post hoc results, effect sizes, and assumption checks.
• Use the statistics dashboard to move across related result families efficiently.
• Rebuild supported publication figures from computed results and export improved editable visuals.

Projects and reproducibility

• Reopen recent projects during manuscript revisions, validation, or reviewer-response work.
• Keep source workbooks, selected analysis modes, output folders, and workflow state organized.
• Generate predictable output folders containing tables, figures, logs, and configuration traces.
• Document the app version, source workbook, analysis mode, feature or domain interpretation, and figure rebuilding used in reporting.
• Work with local investigator-controlled files and choose where projects and outputs are stored.

Designed for careful interpretation

The application organizes and exposes an established computational workflow; it does not replace scientific judgment or act as a general-purpose statistics package for arbitrary spreadsheets.

• Review feature-level findings alongside broader domain summaries.
• Interpret small, uneven, or weakly powered groups cautiously.
• Treat changes in analytical mode as meaningful scientific choices.
• Rerun the workflow when data or settings change rather than altering only a displayed figure.