At DNAlytics, we are confronted everyday to large data sets analysis. If you want to learn more about the technologies we master, read our data science technology page.
To support our data analysis efforts, we decided to develop and/or maintain a series of key software elements. You will find below several software elements that we develop and/or maintain and for which comments and feedbacks are welcome! Some of them are open-source: feel free to use them!
LiblineaR – an R package for large-scale linear modeling
jForest – an ensemble tree-based model library
REED – Rapid and Easy Evaluation of Datasets
BLISS – Biomarker List Interpretation Simple Software
Hercules – A software suite for biomanufacturing data analysis
Bricks – The core library underlying most of our analyses