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  1. Article

    Open Access

    Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma

    Neuroblastoma is a childhood neurological tumor which affects hundreds of thousands of children worldwide, and information about its prognosis can be pivotal for patients, their families, and clinicians. One o...

    Davide Chicco, Tiziana Sanavia, Giuseppe Jurman in BioData Mining (2023)

  2. Article

    Open Access

    Ten simple rules for providing bioinformatics support within a hospital

    Bioinformatics has become a key aspect of the biomedical research programmes of many hospitals’ scientific centres, and the establishment of bioinformatics facilities within hospitals has become a common pract...

    Davide Chicco, Giuseppe Jurman in BioData Mining (2023)

  3. Article

    Open Access

    The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

    Binary classification is a common task for which machine learning and computational statistics are used, and the area under the receiver operating characteristic curve (ROC AUC) has become the common standard ...

    Davide Chicco, Giuseppe Jurman in BioData Mining (2023)

  4. Article

    Open Access

    Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

    Cancer is one of the leading causes of death worldwide and can be caused by environmental aspects (for example, exposure to asbestos), by human behavior (such as smoking), or by genetic factors. To understand ...

    Davide Chicco, Abbas Alameer, Sara Rahmati, Giuseppe Jurman in BioData Mining (2022)

  5. Article

    Open Access

    The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

    Evaluating binary classifications is a pivotal task in statistics and machine learning, because it can influence decisions in multiple areas, including for example prognosis or therapies of patients in critica...

    Davide Chicco, Niklas Tötsch, Giuseppe Jurman in BioData Mining (2021)

  6. Article

    Open Access

    Data analytics and clinical feature ranking of medical records of patients with sepsis

    Sepsis is a life-threatening clinical condition that happens when the patient’s body has an excessive reaction to an infection, and should be treated in one hour. Due to the urgency of sepsis, doctors and phys...

    Davide Chicco, Luca Oneto in BioData Mining (2021)

  7. Article

    Open Access

    Ten quick tips for machine learning in computational biology

    Machine learning has become a pivotal tool for many projects in computational biology, bioinformatics, and health informatics. Nevertheless, beginners and biomedical researchers often do not have enough experi...

    Davide Chicco in BioData Mining (2017)

  8. Article

    Open Access

    Computational algorithms to predict Gene Ontology annotations

    Gene function annotations, which are associations between a gene and a term of a controlled vocabulary describing gene functional features, are of paramount importance in modern biology. Datasets of these anno...

    Pietro Pinoli, Davide Chicco, Marco Masseroli in BMC Bioinformatics (2015)