We apply Sysoft Tools for Diagnostic, Descriptive, Prescriptive, Predictive and Optimizing analytics in Biomedical science and engineering. We use deep and reinforced learning techniques in genomic and Bioinformatic studies. Biomedical data science algorithms are helping our clients in finding early stage pharmaceutical and biosynthetic innovations.
Typical applications include:
Visual analytics applications in fluorescence based cell signal monitoring and integrated simulation.
Diagnostic, Descriptive, Prescriptive, Predictive and Optimizing analytics applications in CFD and Finite Elements data analysis and monitoring.
Use of deep and reinforced learning techniques in protein structure prediction.
Natural Language Processing and Text Mining of research reports, journal articles, and online libraries
Genome mapping: The different types of genome maps and how each is used in research and diagnostics - Physical maps: sequence tagged sites, radiation hybrid maps, Cytogenetic maps, Genetic maps, SNP maps, Haplotype maps, Disease/association maps, Sequence maps: BACs, shotgun sequencing, Annotating maps with ESTs.