EviStat

At what stage your research? Identifying a drug target, looking for response biomarkers for the drug, or just started planning a new experiment? EviStat could assist with computational and statistical issues. The analysis can be expanded drastically by the bounty of omics and clinical data available publicly nowadays. We possess multi-year, credit-rich experience in biomedical data analysis, distinguished by adequate, evidence-oriented statistical approach. EviStat is a boutique consultancy which offers biostatistics and bioinformatics services. We provide our expertise to clinical and life sciences research, epidemiology, and public health. We apply the full spectrum of modern methods and approaches, with a particular focus on systems biology and attention to reproducibility. A service can be custom-tailored to the needs of your project, ranging from simple advice on choice of statistical tests to in-depth data analysis. Most popular areas include, but not limited to: - BIOSTATISTICS: exploratory analysis and visualization, differential expression, Mendelian randomization, diagnostic test performance; - EXPERIMENTAL DESIGN: sample size, validation, diagnostic test development; - MACHINE LEARNING: molecular subtype discovery, biomarker discovery and validation, functional impact of sequence variants; - SYSTEMS BIOLOGY: pathway enrichment, disease driver discovery, data integration, causative inference, network analysis. We develop predictive biomarkers for modern anti-cancer treatments such as tyrosine kinase inhibitors and checkpoint inhibitors – which are typically efficient in a minority of patients. Known determinants of treatment response just partially explain the patient response. The attempts to augment this knowledge by using gene and protein profiles have been mostly fruitless – due to both statistical and organizational challenges. Among other approaches, we use our innovative method, NeaMarker which employs network-level analysis and fuzzy set theory.