NCDPT

Neuronal Cell Death Prediction Tool

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Data source

Upload a differential expression CSV or paste alternating gene / logFC values.



Paste genes

Paste gene names and log fold-change values, alternating line by line (or as CSV rows).



Analysis settings




Choose a file or paste genes, then run an analysis.

Download outputs

Exports mirror the Python-script style outputs for sharing or uploading.

Input genes
-
valid differential-expression rows
Matched rows
-
strong matches
Shared genes
-
matched in multiple death types

logFC by prediction

Hover a point to see the gene, logFC, predicted cell-death type, and whether it promotes or inhibits it.

Prediction counts

Hover a bar to see how many of its matches were strong vs. weak evidence.

Hover a bar for strong/weak counts.

Pathway map approximation

Real KEGG pathway artwork (assets/*.png), with gene boxes highlighted at the coordinates read from the matching KGML XML file.

Matched marker table

Shared genes remain visible across multiple predictions.

GO & KEGG Enrichment Analysis

Scores GO Biological Process, Molecular Function, Cellular Component and KEGG pathway terms via Enrichr. Requires an internet connection.