New York University 3 credits Global Public Health
Genomics and other omics data have become cornerstones of research in biology, biomedicine, and public health, yet their high dimensionality, heterogeneity, and complex structures challenge traditional computational and statistical methods. This course introduces fundamental and advanced statistical and computational approaches to address these challenges, emphasizing core statistical concepts and their applications in bioinformatics and biomedical problems. Topics include gene expression, regulatory sequence analysis, RNA-seq, spatial transcriptomics, and gene regulation studies. Methods covered range from multivariate analysis and sequence modeling to machine learning, illustrated with real-world examples from public health. Prerequisites: GPH-GU 2182 and GPH-GU 2338 and GPH-GU 2354.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.