biomarkers.ai

biomarkers play a key role in providing precision medicine strategies. biomarker development relies heavily on machine learning techniques such as filtering, feature extraction and predictive modeling. because biomedical signals are high-dimensional data, they need pre-processing to filter out the noise and extract the valuable features that can be used to build predictive models for diagnosis, prognosis or treatment of diseases. we are data scientists, bioinformaticians, and clinicians working together to build the fastest, the most reliable and scalable automated machine learning platform for processing microarray and rna-seq data. we developed an automated machine learning platform named xarang for analyzing big data made available through public-private organizations such as nih and embl-ebi to accelerate the pace of biomarkers discovery.