Lecturer: Nadja Grammes
News:
- [01.04, 17:15 German time]: Every participant of the Stanford Timezone Group should have received an invitation to a zoom meeting to his e-mail address for the meeting tomorrow 08:00AM (Stanford Time, 5PM German time). If you do not find it, please check your spam folder.
If the problem persists, please write me an e-mail. - [31.03, 20:45 German time]: Every participant of the German Timezone Group should have received an invitation to a zoom meeting to his e-mail address for the meeting tomorrow 10:00AM (German Time). If you do not find it, please check your spam folder.
If the problem persists, please write me an e-mail. - [30.03]: Every participant who registered by sending me an e-mail should have received a return mail (please check you spam folder if you did not receive a mail ). Each of you will receive a username and password to his e-mail in the course of this day. Zoom link will follow soon.
- [30.03]: (see also below)
German group: The lectures will take place Wednesday and Friday at 10:00am (German time zone) and start at 01. April
Stanford group: The lectures will take place Tuesday and Thursday at 8:00am (American time zone, 5:00pm in German time zone) and start at 02. April.
Please write me an e-mail if these time slots cause problems. - Due to the short-term planning of this lecture and the broad spectrum of represented fields, we are unable to directly give Credit Points for the lecture. However, we are very happy to give interested participants a certificate after completion of the course. Using this certificate, the participants can – in agreement with their responsible examination office – get credit for their participation.
- It is not necessary to install R by yourself. Our course will use an online R-Studio version hosted by the Chair for Clinical Bioinformatics.
- To attend the meetings, please register in the online tool zoom: https://zoom.us/pricing
and download the free basic version - The meetings will be recorded, so every participant that is unable to attend the meeting can catch up on the lessons with the records
General Info:
- There will be two timeslots: one timeslot for the for the interested participants from Saarland and one timeslot for the interested participants from Stanford
- The course will be offered in English
About the lecture:
The course teaches R for beginners and focuses on topics relevant for biologists, biotechnologists and related fields.
Due to the current corona pandemia, this course will be held as online lecture with the tool zoom and is intended as training opportunity at home.
Topics include:
- Introduction in R (basics, syntax, read data, data manipulation ect.)
- Plotting
- Clustering & Co (heatmaps, dendrograms, PCA, t-sne, UMAP)
- Hypothesis testing (test for significance, t-test, ANOVA, adjustment for multiple testing)
- Statistical Learning (regression analysis & co) and deep learning (neural networks)
Lecture dates:
The lecture is planned to start at the 01.04.2020 and will be held twice a week (2h lecture, 2h tutorial).
The dates for the individual lectures will be displayed in the list below.
If you have problems to attend on a specific date/time, please write an e-mail to nadja.grammes[at]ccb.uni-saarland.de .
Time Slots German Group
| Lecture | Date/Time | Topic |
| 1 | 01.04, 10:00am (German time) | Introduction in R: Part 1 |
| 2 | 03.04, 10:00am (German time) | Introduction in R: Part 2 |
| 3 | 08.04, 10:00am (German time) | Tutorial: Introduction in R |
| 10.04: Easter Friday | / | |
| 4 | 15.04, 10:00am (German time) | Tutorial: Common functions |
| 5 | 17.04, 10:00am (German time) | Introduction in ggplot2 |
| 6 | 22.04, 10:00am (German time) | Ggplot2: Graph library: Part 1 |
| 7 | 24.04, 10:00am (German time) | Ggplot2: Graph library: Part 2 |
| 8 | 29.04, 10:00am (German time) | Tutorial: Ggplot2 |
| 9 | 06.05, 10:00am (German time) | Hypothesis Testing Basics |
| 10 | 08.05, 10:00am (German time) | Statistical tests & R: Part 1 |
| 11 | 13.05, 10:00am (German time) | Statistical tests & R: Part 2 |
| 12 | 15.05, 10:00am (German time) | Multi-dimension reduction & R |
| 13 | 20.05, 10:00am (German time) | Statistical learning & R: Basics |
| 14 | 27.05, 10:00am (German time) | Statistical learning & R: Methods |
Time Slots Stanford Group
| Lecture | date/time | Topic |
| 1 | 02.04, 08:00am (Stanford time) | Introduction in R: Part 1 |
| 2 | 07.04, 08:00am (Stanford time) | Introduction in R: Part 2 |
| 3 | 09.04, 08:00am (Stanford time) | Tutorial: Introduction in R |
| 4 | 14.04, 08:00am (Stanford time) | Tutorial: Common functions |
| 5 | 16.05, 08:00am (Stanford time) | Introduction in ggplot2 |
| 6 | 21.05, 08:00am (Stanford time) | Ggplot2: Graph library: Part 1 |
| 7 | 23.05, 08:00am (Stanford time) | Ggplot2: Graph library: Part 2 |
| 8 | 28.05, 08:00am (Stanford time) | Tutorial: Ggplot2 |
| 9 | 05.05, 08:00am (Stanford time) | Hypothesis Testing Basics |
| 10 | 07.05, 08:00am (Stanford time) | Statistical tests & R: Part 1 |
| 11 | 12.05, 08:00am (Stanford time) | Statistical tests & R: Part 2 |
| 12 | 14.05, 08:00am (Stanford time) | Multi-dimension reduction & R |
| 13 | 19.05, 08:00am (Stanford time) | Statistical learning & R: Basics |
| 14 | 26.05, 08:00am (Stanford time) | Statistical learning &R:Methods |
Registration for the lecture:
If you are interested to register for the lecture, please write an e-mail to nadja.grammes[at]ccb.uni-saarland.de . In this e-mail, please list:
- if you are currently in Stanford or Germany
- if you are a bachelor, master or phD student
- your faculty and, if you are a phD student, your chair
- field of study