MED3007 – Statistical Principles in Genomics: an Introduction with Rstudio
Course content
Genomic data analysis is increasingly important both in medical research and in the clinical practice. In this course, you will learn the basic principles and concepts in the statistical analysis of genomic data. The course will focus on the three main tasks that are frequently involved in genomics: data visualisation, data screening and pre-processing, data modelling (prediction and classification). You will get a practical introduction to RStudio, the best statistical software for analysing genomic data, thus enabling you to perform basic programming tasks, to visualise and analyse genomic data, and to interpret the results.
Learning outcome
Knowledge
Upon completion of this course, you will be able to:
- identify specific statistical challenges associated with the analysis of genomic data
- explain the analytical solutions targeted to the genomics data case, by understanding their underlying statistical properties
- have in-depth knowledge of research methods used in medicine and health sciences (common for all electives).
Skills
Upon completion of this course, you will be able to:
- identify the data analysis problem, and choose the appropriate type of statistical method;
- implement a complete genomic data pipeline in RStudio: data loading and handling, visualisation, basic analyses;
- critically evaluate the visualisation tools and analyses that are most frequently chosen in publications reporting molecular biology or molecular medicine findings;
- manage practical tasks involved when analysing high-dimensional data;
- use RStudio for basic statistical analyses.
General competence
Upon completion of this course, you will be able to:
- reflect on the statistical challenges specific to high dimensional biological data, due to peculiar characteristics of such data domain, and draw consequent method choices.
Admission to the course
The course is reserved for students at the professional study in medicine.
Within given deadlines the students have to prioritise between the elective courses in StudentWeb.
The course admits up to 32 students.
Formal prerequisite knowledge
You must have completed the teaching and have attended or have a valid absence on the exam in MED2200 – Medisinstudiet, modul 2 in order to present yourself to the examination in the elective courses in the first elective period.
Teaching
- Full time study
- Form of teaching:?lectures followed by practical sessions in RStudio, including group assignments.
- Students are expected to prepare to the teaching activities.
- Course materials?in the course content pages and in My Studies may not be distributed or published without special permission from the owner of the copyright to the material.The study of medicine is a full-time study.
Examination
Home exam.
Information about exams and grading, including previous exam papers and grading guidelines, at the Faculty of Medicine
Language of examination
You may submit your response in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a pass/fail scale. Read more about the grading system.
Resit an examination
All students who fail or have a valid reason for absence from the regular exam will be registered for a resit/deferred exam. In case of failing or having a valid reason for absence from the resit/deferred exam, the student may continue in the study program and take the exam in the subsequent elective period (the following January). The student must have taken and passed the elective course by the end of the second elective period in the study program at the latest.
Students who fail or have a valid reason for absence from the regular exam may be given a different form of assessment in the resit/deferred exam.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.