New York University 3 credits Biomedical Informatics
This course will provide an overview of the principles and applications of single-cell data analysis with a focus on single-cell RNA-seq libraries. Topics to be covered in the course will include, but not limited to: an overview of single-cell platforms, experimental design, quality control, filtering, normalization, batch correction, dimensionality reduction, clustering, cell annotation, differential expression, and cell ordering. Through a combination of lectures, hands-on laboratory exercises, and discussions, students will gain the knowledge and skills necessary to harness the power of single-cell techniques for a wide range of research applications. Basic knowledge of the programming language R is a prerequisite for participation in the course.
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.