Sfoglia per Rivista
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
2021-01-01 Chicco, Davide; Tötsch, Niklas; Jurman, Giuseppe
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
2023-01-01 Chicco, Davide; Jurman, Giuseppe
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma
2023-01-01 Chicco, Davide; Sanavia, Tiziana; Jurman, Giuseppe
Ten simple rules for providing bioinformatics support within a hospital
2023-01-01 Chicco, Davide; Jurman, Giuseppe
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning
2022-01-01 Chicco, Davide; Alameer, Abbas; Rahmati, Sara; Jurman, Giuseppe
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation | 1-gen-2021 | Chicco, Davide; Tötsch, Niklas; Jurman, Giuseppe | |
| The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | 1-gen-2023 | Chicco, Davide; Jurman, Giuseppe | |
| Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma | 1-gen-2023 | Chicco, Davide; Sanavia, Tiziana; Jurman, Giuseppe | |
| Ten simple rules for providing bioinformatics support within a hospital | 1-gen-2023 | Chicco, Davide; Jurman, Giuseppe | |
| Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning | 1-gen-2022 | Chicco, Davide; Alameer, Abbas; Rahmati, Sara; Jurman, Giuseppe |
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