|
| 37033467 | Federated learning framework integrating REFINED CNN and Deep Regression Forests. | Bioinform Adv | 2023 |
| 37033467 | Federated learning framework integrating REFINED CNN and Deep Regression Forests. | Bioinform Adv | 2023 |
| 35437577 | Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations. | Brief Bioinform | 2022 |
| 35437577 | Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations. | Brief Bioinform | 2022 |
| 34343564 | Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes. | J Biol Chem | 2021 |
| 34252971 | Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. | Bioinformatics | 2021 |
| 34343564 | Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes. | J Biol Chem | 2021 |
| 34252971 | Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. | Bioinformatics | 2021 |
| 32565715 | Deep Functional and Molecular Characterization of a High-Risk Undifferentiated Pleomorphic Sarcoma. | Sarcoma | 2020 |
| 32873806 | Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks. | Nat Commun | 2020 |
| 32565715 | Deep Functional and Molecular Characterization of a High-Risk Undifferentiated Pleomorphic Sarcoma. | Sarcoma | 2020 |
| 32900374 | Selected Research Articles from the 2019 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). | BMC Genomics | 2020 |
| 32873806 | Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks. | Nat Commun | 2020 |
| 32900374 | Selected Research Articles from the 2019 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). | BMC Genomics | 2020 |
| 30649230 | Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features. | Bioinformatics | 2019 |
| 31846027 | Evaluating the consistency of large-scale pharmacogenomic studies. | Brief Bioinform | 2019 |
| 30378080 | Predictive Modeling of Anti-Cancer Drug Sensitivity from Genetic Characterizations. | Methods Mol Biol | 2019 |
| 30649230 | Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features. | Bioinformatics | 2019 |
| 31217001 | Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). | BMC Bioinformatics | 2019 |
| 31216980 | Recursive model for dose-time responses in pharmacological studies. | BMC Bioinformatics | 2019 |
| 30733524 | Functional random forest with applications in dose-response predictions. | Sci Rep | 2019 |
| 31208434 | Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma. | BMC Cancer | 2019 |
| 31113472 | Preclinical rationale for entinostat in embryonal rhabdomyosarcoma. | Skelet Muscle | 2019 |
| 31846027 | Evaluating the consistency of large-scale pharmacogenomic studies. | Brief Bioinform | 2019 |
| 31217001 | Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). | BMC Bioinformatics | 2019 |
| 31216980 | Recursive model for dose-time responses in pharmacological studies. | BMC Bioinformatics | 2019 |
| 31208434 | Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma. | BMC Cancer | 2019 |
| 30733524 | Functional random forest with applications in dose-response predictions. | Sci Rep | 2019 |
| 31113472 | Preclinical rationale for entinostat in embryonal rhabdomyosarcoma. | Skelet Muscle | 2019 |
| 30378080 | Predictive Modeling of Anti-Cancer Drug Sensitivity from Genetic Characterizations. | Methods Mol Biol | 2019 |
| 29267851 | Sequential feature selection and inference using multi-variate random forests. | Bioinformatics | 2018 |
| 30459282 | The HDAC3-SMARCA4-miR-27a axis promotes expression of the <i>PAX3:FOXO1</i> fusion oncogene in rhabdomyosarcoma. | Sci Signal | 2018 |
| 30591023 | Application of transfer learning for cancer drug sensitivity prediction. | BMC Bioinformatics | 2018 |
| 30440616 | Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. | Annu Int Conf IEEE Eng Med Biol Soc | 2018 |
| 29267851 | Sequential feature selection and inference using multi-variate random forests. | Bioinformatics | 2018 |
| 29589559 | Investigation of model stacking for drug sensitivity prediction. | BMC Bioinformatics | 2018 |
| 29589557 | Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). | BMC Bioinformatics | 2018 |
| 30459282 | The HDAC3-SMARCA4-miR-27a axis promotes expression of the <i>PAX3:FOXO1</i> fusion oncogene in rhabdomyosarcoma. | Sci Signal | 2018 |
| 30591023 | Application of transfer learning for cancer drug sensitivity prediction. | BMC Bioinformatics | 2018 |
| 30440616 | Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. | Annu Int Conf IEEE Eng Med Biol Soc | 2018 |
| 29589559 | Investigation of model stacking for drug sensitivity prediction. | BMC Bioinformatics | 2018 |
| 29589557 | Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). | BMC Bioinformatics | 2018 |
| 28900181 | Heterogeneity Aware Random Forest for Drug Sensitivity Prediction. | Sci Rep | 2017 |
| 28730499 | Target Inhibition Maps Based on Responses to Kinase Inhibitors. | Methods Mol Biol | 2017 |
| 28900181 | Heterogeneity Aware Random Forest for Drug Sensitivity Prediction. | Sci Rep | 2017 |
| 28334269 | IntegratedMRF: random forest-based framework for integrating prediction from different data types. | Bioinformatics | 2017 |
| 28361667 | Combination therapy design for maximizing sensitivity and minimizing toxicity. | BMC Bioinformatics | 2017 |
| 28361667 | Combination therapy design for maximizing sensitivity and minimizing toxicity. | BMC Bioinformatics | 2017 |
| 28334269 | IntegratedMRF: random forest-based framework for integrating prediction from different data types. | Bioinformatics | 2017 |
| 28730499 | Target Inhibition Maps Based on Responses to Kinase Inhibitors. | Methods Mol Biol | 2017 |