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  2. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive model solutions can be considered a type of data mining technology. The models can analyze both historical and current data and generate a model in order to predict potential future outcomes. [14] Regardless of the methodology used, in general, the process of creating predictive models involves the same steps.

  3. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    The first clinical prediction model reporting guidelines were published in 2015 (Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD)), and have since been updated. [10] Predictive modelling has been used to estimate surgery duration.

  4. List of open-source bioinformatics software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    Free open source GNU GPLv2 or later EMBOSS: Suite of packages for sequencing, searching, etc. written in C: Linux, macOS, Unix, Windows [4] GPL and LGPL: Collaborative project Galaxy: Scientific workflow and data integration system Unix-like: Academic Free: Collaborative project GenePattern

  5. Predictive Model Markup Language - Wikipedia

    en.wikipedia.org/wiki/Predictive_Model_Markup...

    Simplification of multiple models. In PMML 4.1, the same element is used to represent model segmentation, ensemble, and chaining. Overall definition of field scope and field names. A new attribute that identifies for each model element if the model is ready or not for production deployment.

  6. List of molecular graphics systems - Wikipedia

    en.wikipedia.org/wiki/List_of_molecular_graphics...

    Proprietary, limited free version C-assembly, Windows, Linux, Mac [34] [self-published source?] Fully featured molecular modeling and simulation program, incl., structure prediction and docking. Graphical or text mode (clusters), Python interface.

  7. Predictive learning - Wikipedia

    en.wikipedia.org/wiki/Predictive_learning

    The idea that predictions and unconscious inference are used by the brain to construct a model of the world, in which it can identify causes of percepts, goes back even further to Hermann von Helmholtz's iteration of this study. These ideas were further developed by the field of predictive coding.

  8. Rule-based machine learning - Wikipedia

    en.wikipedia.org/wiki/Rule-based_machine_learning

    An individual rule is not in itself a model, since the rule is only applicable when its condition is satisfied. Therefore rule-based machine learning methods typically comprise a set of rules, or knowledge base, that collectively make up the prediction model.

  9. List of protein structure prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_protein_structure...

    A unified interface for: Tertiary structure prediction/3D modelling, 3D model quality assessment, Intrinsic disorder prediction, Domain prediction, Prediction of protein-ligand binding residues Automated webserver and some downloadable programs RaptorX: remote homology detection, protein 3D modeling, binding site prediction