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Additional file 1: of PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach

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https://figshare.com/articles/dataset/Additional_file_1_of_PMAMCA_prediction_of_microRNA-disease_association_utilizing_a_matrix_completion_approach/7872731
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Table S1. Notation. Table S2. Top-50 candidate miRNAs for breast cancer predicted by PMAMCA. Table S3. Top-50 candidate miRNAs for lung cancer predicted by PMAMCA. Table S4. List of validated cancer hallmark-based signature and their genes. Table S5. List of confirmed driver and passenger genes. (additional experimental result) Table S6. Top-50 candidate miRNAs for colon cancer predicted by PMAMCA. (additional experimental result). Figure S1. The workflow for prioritizing candidate miRNAs. Figure S2. Applying matrix factorization into miRNA-disease association extraction. Figure S3. Performance comparisons between PMAMCA and four state-of-the-art methods. Figure S4. Performance of PMAMCA with different values of k. Figure S5. Numbers of correctly retrieved known disease-related miRNAs for various rank thresholds. (ZIP 2223 kb)
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