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Fig. 1 | BMC Medical Genomics

Fig. 1

From: A network based approach to drug repositioning identifies plausible candidates for breast cancer and prostate cancer

Fig. 1

Analytic workflow. (1) After mapping mutated genes to the FLN, identify the functional neighbors that are up or down regulated (DEG: differentially expressed genes) and within significantly enriched disease pathways (FDR < 0.05). (2) Map the genes that are down or up regulated by drug candidates to the FLN (3) Compute the MP score; i.e. the significance of the functional overlap between the drug and disease perturbed genes (see text). (4) Rank the compounds according to the MP score. (5) Compute the sensitivity and specificity of the ranked list of compounds. (6) Repeat the process with different groups of MAG and DRG (Drug Response Gene) generated by looping over the parameters (m & k). (7) Choose the parameter set that has highest sensitivity and specificity. (8) The drug candidates are chosen form the ranked list generated by the best parameter set. (9) The top ranked drug candidates are chosen for in vitro experimental validation

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