Distributions of model parameters mirror differentially expressed ion channel genes. by Daniele Linaro (227790)

DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx by Ying Sun (23237)

Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx by Bingxin Zhang (13011397)

Most informative genes for predicting cell-line responses for Gefitinib. by Sofia P. Miranda (11418930)

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Average running time line graph of different algorithms. by Wuyi Li (2984439)

Contour lines of GDOP in parallelogram layout. by Sheng Miao (14248110)

Contour line of GDOP in triangle layout. by Sheng Miao (14248110)

Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction by E. Tejera (7470644)

“…<div><p>The prediction of cell-lines sensitivity to a given set of compounds is a very important factor in the optimization of in-vitro assays. …”

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”

Spearman correlation coefficient results for classification algorithms (predicted probabilities) and regression algorithms (predicted IC50 values). by Sofia P. Miranda (11418930)

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Predicting patient drug response from cell-line methylation profiles for Temozolomide (n = 85). by Sofia P. Miranda (11418930)

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Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

Line graph for determining K value based on elbow method. by Bing Li (43671)

Contour lines of GDOP of five BSs using DBSS5. by Sheng Miao (14248110)

Contour lines of GDOP of four BSs using DBSS4. by Sheng Miao (14248110)

Classification results for all subsampling scenarios and algorithms for Gefitinib. by Sofia P. Miranda (11418930)

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Example medication days generated for patients P4 and P6, medication times (red dots), patient’s state—TRS score (blue line) with bounds for the states (red lines) and optimal stat... by Tomasz Gutowski (17200042)

Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib. by Sofia P. Miranda (11418930)

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