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Learn cancer genomics and bioinformatics in a 14-hour program by BioinformaticsDotCA, covering somatic mutations, gene expression profiling, and data visualization.
Learn about clinical genomics and biomarker discovery in a 2-3 hour program from BioinformaticsDotCA, focusing on survival analysis and personalized medicine.
Learn to interpret gene lists from omics studies with BioinformaticsDotCA. Master pathway and network analysis in just 3-4 hours.
Learn about biomarkers, clinical variables, and personalized medicine in a 5-hour program from BioinformaticsDotCA. Gain skills in integrating clinical and genomic data.
Learn to interpret gene lists from omics studies with BioinformaticsDotCA. Master over-represented gene functions, pathway and network analysis in 4-5 hours.
BioinformaticsDotCA offers a 14-hour workshop on cancer analysis, covering topics from data visualization to multi-omic data integration.
Learn R programming basics with BioinformaticsDotCA in a 10-hour workshop, covering scripts, t-tests, loops, functions, linear models, and R Markdown lab.
Learn pathway and network analysis of gene lists with BioinformaticsDotCA. Master network visualization, in-depth analysis, and gene function prediction in 5 hours.
BioinformaticsDotCA offers a 7-hour workshop on machine learning, covering topics like decision trees, neural networks, and hidden Markov models with practical labs.
Learn about cancer genomics, data ethics, genome assembly, and big data analysis in the cloud with BioinformaticsDotCA's 19-hour program.
Learn the basics of R programming with BioinformaticsDotCA in a 12-hour online program, divided into seven engaging sessions.
BioinformaticsDotCA offers a 13-hour introduction to high-throughput data, RNA-seq data, and pathway/network analysis, with integrated tutorials on popular bioinformatics packages.
Learn bioinformatics in microbiome research and big data analytics with BioinformaticsDotCA's summer program. Explore metagenomics, biomarkers, machine learning, and more in a 9-hour workload.
Learn metabolomics technologies, data analysis, pathway databases usage, and statistical methods in a 9-hour workshop by BioinformaticsDotCA.
Learn key bioinformatics concepts and tools for cancer genomic data analysis with BioinformaticsDotCA. Material includes mapping, gene expression, and data integration.
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