MyDataModels participated to an INRA (Institut National de la Recherche Agronomique) PREDICT workshop where the provided dataset was an extract of the TCGA (The Cancer Genome Atlas) database.
Predictive modeling using small data Mantle cell lymphoma (MCL) and chronic lymphocytic leukemia (CLL) share many features and both arise from CD5+ B-cells; their distinction is critical as MCL is a more aggressive neoplasm. Thomas Matthes, Professor of Hematology at Geneva University Hospital, and MyDataModels have teamed up to help Professor’s research team in his […]
Predict and anticipate maintenance tasks to prevent failures and increase machines uptime This case study is an example of a company that uses many machines to build their final products. As the supply chain is stopped every time a machine breaks, the manager asked a consulting firm to build a predictive model that finds which […]
Can you predict product backorders? Part backorders is a common supply chain problem. A backorder is a retailer’s order for a part that is temporarily out of stock with the vendor. This case study is about building a predictive model to identify parts at risk of backorder before the event occurs so to have time […]
Biomarkers discovery MyDataModels was used to model and perform feature selection on the NCBI microarray gene expression dataset GSE19429. This dataset contains Affymetrix GeneChip Human Genome V133 Plus 2.0 microarray data representing gene expression levels for 200 samples. These samples consisted of bone marrow tissue obtained from 183 patients with myelodysplastic syndromes (MDS) and 17 […]