Medical Systems Biology

You are here:  Teaching > WS2018/2019 > Einführung in die Bioinformatik(Informatik/ Mathematische Biometrie)

Einführung in die Bioinformatik(Informatik/ Mathematische Biometrie)

Dozent: Prof. Dr. Hans A. Kestler
  Prof. Dr. Enno Ohlebusch
  Dr. Karlheinz Holzmann
  mit M. Sc. Robin Szekely
Code

 

CS6012.000

 

 

 

 


Aktuelles

Vorlesungsbeginn ist am 17.10.2018

Die erste Übung (Einführung in R und Ausgabe des ersten Übungsblatts) findet am 26.10.2018 statt

Die Besichtigung der Core Facility Genomics findet am 09.01.2019 statt. Treffpunkt ist um 8:30 in O27, 123.

Die Vorlesung am 30.01.2019 entfällt krankheitsbedingt. Die Übung am 01.02.2019 findet aber regulär statt.

Die Klausureinsicht zur ersten Klausur findet am 15.03.2019, 15:00-16:00 in O27/5116 (Besprechungsraum) statt.

Die Klausureinsicht zur Nachklausur findet am 03.05.2019, 09:30-10:30 in O27/548 statt.


Vorlesung

Mittwochs 08:30 - 10:00 Uhr, O27, 123


Übungen

Freitags 14:00 - 16:00 Uhr, O27, 121, ab 26.10.2018 alle zwei Wochen

 

Vorlesungsunterlagen

Biologische Grundlagen

Molekulare Werkzeuge

Datenbanken und Alignments

Microarrays

Next Generation Sequencing

Statistik

Klassifikation

Clustering

 

Übungsblätter

Übungsblatt 1

Übungsblatt 2

Übungsblatt 3

Übungsblatt 4

Übungsblatt 5

Übungsblatt 6

Übungsblatt 7

Sonstiges

Einführung in R

PAM250.RData

Animation: k-Means

Animation: Perzeptron

normal_vs_prostate_tumor.RData

mapping_table.RData

test_data.RData

multTest.RData

Klausur

Erster Termin: 26.02.2019, 10:00-11:30 Uhr, O27/H20

Zweiter Termin: 09.04.2019, 10:00-11:30 Uhr, N25/H8

 

Job Openings

Wissenschaftlicher Mitarbeiter (m/w/d) 

 

Latest News

 

  1. "Recent Trends and Future Challenges in Learning from Data" has been published with Springer.

     

    Our paper "Permutation-invariant linear classifiers" has been published in Machine Learning.

     

    Our paper "Prediction of resistance to bevacizumab plus FOLFOX in metastatic colorectal cancer-Results of the prospective multicenter PERMAD trial" has been published in PLoS One.

     

  2. "Introducing a machine learning algorithm for delirium prediction—the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead)has been published in Age and Ageing.

Our paper "Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio" has been published in Scientific Reports.

 

"Prospective study validating a multidimensional treatment decision score predicting the 24-month outcome in untreated patients with clinically isolated syndrome and early relapsing–remitting multiple sclerosis, the ProVal-MS study" has been published in Neurological Research and Practice.

 

Our paper "GatekeepR: an R shiny application for the identification of nodes with high dynamic impact in boolean networks" has been published online first in Bioinformatics.

 

Our paper "The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices" has been published in JMIR Medical Informatics.

 

"Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients" has been published in npj Precision Oncology.

 

Our paper "AMBAR-interactive alteration annotations for molecular tumor boards" has been published in Computer Methods and Programs in Biomedicine.

 

"A protocol for the use of cloud-based quantum computers for logical network analysis of biological systems" has been published in STAR Protocols.

 

Our paper "A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective" has been published in npj systems biology and applications.

 

"Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician" has been published in PLoS One.

 

"Self-Assessment of Having COVID-19 With the Corona Check Mhealth App" has been published in IEEE Journal of Biomedical and Health Informatics.


Our first quantum computing paper "Leveraging quantum computing for dynamic analyses of logical networks in systems biology" has been published in Patterns.