The supplementary results for this work. This file contains lists of researched drugs and side-effects, and all prediction results. Table S1: List of 917 drugs studied in this work. Drug names, drug target proteins, substituents of drugs, ATC codes and the SMILES strings are included as well. Table S2: List of 500 side-effect terms studied in this work. Table S3: F1-scores of different similarity measurements and different similarity integration methods using KNN. Table S4: F1-scores of different classifiers using the comprehensive similarity on balanced and imbalanced training sets. Table S5: F1-scores of different classifiers using the proposed negative sample selection method and random sample selection method. (XLSX 857 kb
Drugs are an important way to treat various diseases. However, they inevitably produce side effects,...
Text file containing all drug pairs having negative synergistic scores a i (j)<0 and a j (i)<0. (TXT...
AbstractSystems approaches to studying drug-side-effect (drug-SE) associations are emerging as an ac...
Supplementary file 1: The supplementary figures for this work. Figure S1: Scatter plots of F1-scores...
Supplementary file 1: The supplementary figures for this work. Figure S1: Scatter plots of F1-scores...
Supplementary codes and data. The two datasets used in this work and the python codes of the propose...
Abstract Background In silico prediction of potential drug side-effects is of crucial importance for...
© 2019 The Author(s). Background: In silico prediction of potential drug side-effects is of crucial ...
© 2017 IEEE Computer Society. All rights reserved. Drug side-effects are crucial issues in both the ...
Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical ...
â Table S3: List of 1048 drugs studied in this work. DrugBank ID, Mesh ID, drug names, drug SMILES...
International audienceBACKGROUND: Drug side-effects, or adverse drug reactions, have become a major ...
International audienceBACKGROUND: Drug side-effects, or adverse drug reactions, have become a major ...
International audienceBACKGROUND: Drug side-effects, or adverse drug reactions, have become a major ...
We propose a new computational method for discovery of possible adverse drug reactions. The method c...
Drugs are an important way to treat various diseases. However, they inevitably produce side effects,...
Text file containing all drug pairs having negative synergistic scores a i (j)<0 and a j (i)<0. (TXT...
AbstractSystems approaches to studying drug-side-effect (drug-SE) associations are emerging as an ac...
Supplementary file 1: The supplementary figures for this work. Figure S1: Scatter plots of F1-scores...
Supplementary file 1: The supplementary figures for this work. Figure S1: Scatter plots of F1-scores...
Supplementary codes and data. The two datasets used in this work and the python codes of the propose...
Abstract Background In silico prediction of potential drug side-effects is of crucial importance for...
© 2019 The Author(s). Background: In silico prediction of potential drug side-effects is of crucial ...
© 2017 IEEE Computer Society. All rights reserved. Drug side-effects are crucial issues in both the ...
Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical ...
â Table S3: List of 1048 drugs studied in this work. DrugBank ID, Mesh ID, drug names, drug SMILES...
International audienceBACKGROUND: Drug side-effects, or adverse drug reactions, have become a major ...
International audienceBACKGROUND: Drug side-effects, or adverse drug reactions, have become a major ...
International audienceBACKGROUND: Drug side-effects, or adverse drug reactions, have become a major ...
We propose a new computational method for discovery of possible adverse drug reactions. The method c...
Drugs are an important way to treat various diseases. However, they inevitably produce side effects,...
Text file containing all drug pairs having negative synergistic scores a i (j)<0 and a j (i)<0. (TXT...
AbstractSystems approaches to studying drug-side-effect (drug-SE) associations are emerging as an ac...