|
| 36114746 | Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients' noninvolved lung tissue. | Cancer Sci | 2023 |
| 36114746 | Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients' noninvolved lung tissue. | Cancer Sci | 2023 |
| 37748607 | A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe. | Sci Total Environ | 2023 |
| 36823520 | Ten simple rules for providing bioinformatics support within a hospital. | BioData Min | 2023 |
| 36870971 | Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. | BioData Min | 2023 |
| 36800973 | The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. | BioData Min | 2023 |
| 36462367 | Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data. | Comput Biol Med | 2023 |
| 37352899 | A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index. | J Biomed Inform | 2023 |
| 37748607 | A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe. | Sci Total Environ | 2023 |
| 37352899 | A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index. | J Biomed Inform | 2023 |
| 36870971 | Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma. | BioData Min | 2023 |
| 36462367 | Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data. | Comput Biol Med | 2023 |
| 36800973 | The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification. | BioData Min | 2023 |
| 36823520 | Ten simple rules for providing bioinformatics support within a hospital. | BioData Min | 2023 |
| 36388843 | A brief survey of tools for genomic regions enrichment analysis. | Front Bioinform | 2022 |
| 36238654 | The ABC recommendations for validation of supervised machine learning results in biomedical sciences. | Front Big Data | 2022 |
| 36329531 | Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning. | BioData Min | 2022 |
| 35402520 | An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence. | Front Robot AI | 2022 |
| 36401328 | Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. | BMC Med Inform Decis Mak | 2022 |
| 36388843 | A brief survey of tools for genomic regions enrichment analysis. | Front Bioinform | 2022 |
| 35402520 | An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence. | Front Robot AI | 2022 |
| 36401328 | Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. | BMC Med Inform Decis Mak | 2022 |
| 36238654 | The ABC recommendations for validation of supervised machine learning results in biomedical sciences. | Front Big Data | 2022 |
| 36329531 | Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning. | BioData Min | 2022 |
| 34307865 | The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. | PeerJ Comput Sci | 2021 |
| 33541410 | The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation. | BioData Min | 2021 |
| 34307865 | The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. | PeerJ Comput Sci | 2021 |
| 33863366 | A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency. | Genome Biol | 2021 |
| 34445517 | Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology. | Int J Mol Sci | 2021 |
| 33541410 | The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation. | BioData Min | 2021 |
| 33863366 | A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency. | Genome Biol | 2021 |
| 34445517 | Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital Pathology. | Int J Mol Sci | 2021 |
| 32640954 | Application of Artificial Intelligence in Targeting Retinal Diseases. | Curr Drug Targets | 2020 |
| 32013925 | Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. | BMC Med Inform Decis Mak | 2020 |
| 31898477 | The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. | BMC Genomics | 2020 |
| 32054490 | Predictability of drug-induced liver injury by machine learning. | Biol Direct | 2020 |
| 32714870 | Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling. | Front Oncol | 2020 |
| 32640954 | Application of Artificial Intelligence in Targeting Retinal Diseases. | Curr Drug Targets | 2020 |
| 33239635 | Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma. | Nat Commun | 2020 |
| 33274348 | CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19. | Netw Syst Med | 2020 |
| 32661247 | TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting. | Sci Data | 2020 |
| 33051513 | Survival prediction of patients with sepsis from age, sex, and septic episode number alone. | Sci Rep | 2020 |
| 32054490 | Predictability of drug-induced liver injury by machine learning. | Biol Direct | 2020 |
| 31898477 | The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. | BMC Genomics | 2020 |
| 32013925 | Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. | BMC Med Inform Decis Mak | 2020 |
| 33274348 | CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19. | Netw Syst Med | 2020 |
| 33051513 | Survival prediction of patients with sepsis from age, sex, and septic episode number alone. | Sci Rep | 2020 |
| 33239635 | Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma. | Nat Commun | 2020 |
| 32661247 | TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting. | Sci Data | 2020 |
| 32714870 | Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling. | Front Oncol | 2020 |