Update README.md

README.md

@@ -2,61 +2,23 @@
 title: Mutation Explainability Intelligence System
 emoji: 🧬
 colorFrom: blue
-colorTo: red
+colorTo: indigo
 sdk: gradio
-sdk_version: 4.44.1
 app_file: app.py
 pinned: false
 license: mit
 tags:
-  - genomics
   - bioinformatics
+  - genomics
   - explainability
-  - pathogenicity
-  - splice
-  - XAI
+  - pytorch
+short_description: Explanation-first tri-model genomic variant analysis
 ---
 
-# Mutation Explainability Intelligence System
-
-**Explainability-first** three-model ensemble for SNV pathogenicity prediction.
-
-The system answers five core questions **before** presenting any prediction score:
-
-1. Why was this variant predicted pathogenic / benign?
-2. Which internal model signals drove that decision?
-3. Is the signal localised at the mutation site?
-4. Did removing the mutation change the prediction?
-5. Do multiple models agree mechanistically?
-
-## Models
-
-| Model | Repo | Architecture |
-|---|---|---|
-| Splice | `nileshhanotia/mutation-predictor-splice` | MutationPredictorCNN_v2 |
-| V4 | `nileshhanotia/mutation-predictor-v4` | MutationPredictorCNN_v4 |
-| Classic | `nileshhanotia/mutation-pathogenicity-predictor` | MutationPredictorClassic |
-
-## Input
-
-- Chromosome, Position (hg38), Ref base, Alt base, Exon/Intron flag
-- Sequence fetched automatically from **Ensembl REST API** (99-bp window)
-
-## Explainability Signals
-
-- **conv3 activation norm profiles** — per-nucleotide activation intensity
-- **Mutation-centred activation peak** — peak at mutation site vs mean
-- **Gradient attribution maps** — input-gradient backward pass
-- **Splice aura distance** — proximity to GT/AG splice dinucleotides
-- **Counterfactual delta** — all alternative bases tested
-- **Feature ablation** — splice / region / mutation / sequence groups
-- **Cross-model locality score** — Pearson correlation of activation profiles
-- **Explainability Strength Score** — 0–1 composite quality metric
-
-## Confidence Levels
+# 🧬 Mutation Explainability Intelligence System
 
-`High` / `Moderate` / `Low` based on model agreement, ESS, and counterfactual magnitude.
+Three-model ensemble variant analysis with explanation before prediction.
 
-## Disclaimer
+Models: `nileshhanotia/mutation-predictor-splice`, `mutation-predictor-v4`, `mutation-pathogenicity-predictor`
 
-For **research use only**. Not a clinical diagnostic tool.
+⚠️ For research use only. Not a clinical diagnostic tool.