Coordinator: Prof. Dr. H. A. Kestler
Code: MOME.Ma1002
Start of lectures:
Tuesday, 22.10.2019 (14:00 - 16:00)
Room changes:
Thursday, 24.10.2019 (16:00 - 18:00): O29, 3004
Tuesday, 31.10.2019 (14:00 - 16:00): O29, 3005/3006
Thursday, 28.11.2019 (14:00 - 16:00): O23, 2609/10
Tuesday (14:00 - 16:00): seminar room surgical clinic 3.391
Thursday (14:00 - 16:00): O23, 2611
Thursday (16:00 - 18:00): O29, 3005/3006
The post-exam review will take place on 11.02.2020 (12:00-13:00) in room O29/2003.
Friday, 07.02.2020 (10:00 - 12:00): Hörsaal Chirurgie (Lecture Hall Surgery)
Programming with R and Bioconductor
Mass spectrometry and Proteomics - basics
Bioinformatics in MS based qualitative and quantitative proteomics
Mass spectrometry and Proteomics - NewDrugs
Sequence Analysis - Manuscript
Mathematical analysis of cell function
Exercise sheet 1: data_Sha_64.txt
Exercise sheet 2: multivariate_statistics.RData
Exercise sheet 2: knn.Data.RData
Exercise sheet 4: Exercises-2019.mgf
The position paper "Is there a role for statistics in artificial intelligence" has been published online first in Advances in Data Analysis and Classification.
Our paper "Corona Health - A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic" has been published in the International Journal of Environmental Research and Public Health.
Our paper "Patient empowerment during the COVID-19 pandemic: Ensuring safe and fast communication of test results" has been published in the Journal of Medical Internet Research.
Our paper "Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment" has been published in IEEE Access.
Our paper "Capturing dynamic relevance in Boolean networks using graph theoretical measures" has been published online first in Bioinformatics.
Our report protocol "Digitalization of adverse event management in oncology to improve treatment outcome—A prospective study protocol" has been published in PLoS One.
We are happy we could contribute to Beutel et al (2021) "A prospective Feasibility Trial to Challenge Patient-Derived Pancreatic Cancer Organoids in Predicting Treatment Response" published in MDPI Cancers.