O2Pmgen

The Omics to Phenomics model generator. An AI/ML tool that learns patterns of biomarker combinations in omics datasets towards the development of predictive models with bespoke sensitivity and specificity. Applies ML using a proprietary genetic/evolution-inspired algorithm. Contact us for details

O2Pheno

The Omics to Phenotype Prediction tool. A software tool that enables the generation of a particular phenotype classification based on unknown data (e.g. gene expression levels) and using a model generated by O2Pmgen. The tool generates a phenotype score and the respective phenotype classification (e.g. positive/negative). Contact us for details

ROCplot

Tool for the generation of the Receiver Operating Characteristic (ROC) curve of a model based on a given validation dataset. Computes and plots the ROC values of sensitivity and 1-specificity with higher precision based on a deterministic approach. Provides the calculation of the ROC Area Under the Curve (AUC) for accessing the model's predictive power. Contact us for details

BCHAMP

The Bioenhancer Costumer Hosting Application for Model Predictions. A solution for the deployment of tailor-made predictive models with a simple Graphical User Interface and secure user login. Ideal for a customised implementation of models/algorithms resulting from R&D projects. The framework enables faster generation of online predictions from new data. Contact us for details

BMfinder

The Biomarker Finder. A tool that enables a systematic search of putative biomarkers with statistical significance on large datasets. The tool enables testing numerous biomarker candidates using systematic hypothesis testing. Returns a list of candidates with associated p-values, expected alteration and estimated sensitivity and specificity as a single biomarker predictor. Contact us for details

MSDanalyser

The Model Distribution Scores Analyser. A tool for the analysis of the distribution of false positives, false negatives, true positives and true negatives across the model scoring space. Enables the evaluation of models in terms of the likelihood of being correct for a given score. Generates a visualization that facilitates the evaluation and comparison of models. Contact us for details