Validate predictive biomarkers in cell lines

1. Select gene or hallmark / KEGG pathway

Gene(s) Hallmark/KEGG pathway

 

 

↓ Add multiple genes

Multi-gene analysis

Multi-gene method: Mean expression Configure multi-gene analysis

Add gene list here:

Separate genes with spaces, commas, or line breaks. Check the "Multi-gene analysis" box to integrate genes into a signature.

Validate and Add Genes

2. Select treatment

Anticancer agents or

 

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FDA approved drugs or

 

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All available treatments

 

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3. Response:

Responses based on lower and upper tertiles of AUDRC Responses based on lower and upper tertiles of IC50

Total: 0

Non-responders: 0

Responders: 0

4. Settings

Tissue of origin Adrenal Cancer Bile Duct Cancer Bladder Cancer Bone Cancer Brain Cancer Breast Cancer Cervical Cancer Colon/colorectal Cancer Embryonal Cancer Endometrial/uterine Cancer Esophageal Cancer Fibroblast Gallbladder Cancer Gastric Cancer Head And Neck Cancer Kidney Cancer Leukemia Liposarcoma Liver Cancer Lung Cancer Lymphoma Myeloma Neuroblastoma Non Cancerous Ovarian Cancer Pancreatic Cancer Prostate Cancer Rhabdoid Sarcoma Skin Cancer Thyroid Cancer Unknown Solid tumors

Export cell line sensitivity rank as text file

No outliers

Show quartiles

ROC grid

ROC threshold points

ROC 95% CI

Color: non-responder

Color: responder

ROC curve color

Calculate

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Please kindly cite our paper to support further development: Janos Fekete, Balazs Gyorffy: A unified platform enabling biomarker ranking and validation for 1562 drugs using transcriptomic data of 1250 cancer cell lines, Computational and Structural Biotechnology Journal, 2022, 20:2885-2894, doi: 10.1016/j.csbj.2022.06.007.