# Indication prioritization & target validation

Use K Pro to assess whether a target is worth advancing, and to validate that biomarkers behave consistently across data modalities.

* **Assess target tractability & druggability**: evaluate target tractability, safety profiles, and therapeutic potential using curated databases.
* **Validate biomarkers across modalities**: test biomarkers and hypotheses across bulk RNA-seq, single-cell, spatial, and clinical data.

**What to do:** Combine multiple data modalities (RNA-seq, mutation data, etc.) within a cohort to identify candidates that show convergent evidence across layers. Multiomics queries are computationally intensive: start with a specific comparison (two subgroups) rather than "analyze everything."

**Example prompt:**

> In the TCGA-BRCA cohort, integrate RNA-seq gene expression and mutation data. Identify genes that are both differentially expressed and frequently mutated in basal-like versus luminal A patients.

**Expected result:** A multi-omics integration result showing genes that appear significant across both data modalities.

**Follow-up:**

> Perform an individual gene expression comparison of MSIGDB DNA repair, oxidative stress, and EMT pathway signatures at Bulk RNA level using a violin plot with p-values comparing Basal-like and Luminal TCGA-BRCA patients.

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```
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```

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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.