Medical Systems Biology

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Einführung in die evolutionären Algorithmen

 
Dozent:     Prof. Dr. Hans A. Kestler
 
Dr. Ludwig Lausser

Code: CS8006.000






Vorlesungszeiten und Ankündigung

    • Vorlesungbeginn: Dienstag, 30.4.2019. 8:00 Uhr - 10:00 Uhr, Raum O27/122
      • Vorlesung: dienstags, 8:00 Uhr - 10:00 Uhr, Raum O27/122
      • Übung: freitags, 12:00 Uhr - 14:00 Uhr, Raum O27/123
 

Inhalt und Themen

Die Veranstaltung vermittelt Grundkenntnisse Evolutionärer Algorithmen. Es werden die derzeit gängigen Verfahren vorgestellt. Lernziele sind dabei die eigene Implementation der Algorithmen und deren Bewertung im Hinblick auf Anwendung und sinnvollen Einsatz. Weiterhin sollen Grundlagen und praktisch verwendbare Kenntnisse und Fähigkeiten vermittelt werden, die es erlauben eigene Problem-repräsentationen zu erstellen und entsprechende EA Bausteine zu entwickeln bzw. zu erweitern.

 

Folien

Introduction

Biologie I

Einführung in R

Genetische Algorithmen

Genetische Algorithmen II

Evolutionäre Strategien/Programmierung

Genetisches Programmieren

Mehrzieloptimierung

Ant Colony Optimization

Swarm Optimization

 

Folien

Blatt 1

Blatt 2

Blatt 3

Blatt 4

Blatt 5

Blatt 6

Blatt 7

Blatt 8

Blatt 9

Blatt 10

 

Sonstiges

data1.txt

Rcpp

Diagramme in R (Basics)

dist1.RData

dist2.RData

dist3.RData

punkte1.RData

punkte2.RData

punkte3.RData

landscape.R

params.RData

regression1.rds

regression2.rds

regression3.rds

pareto.rds

dist1.rds

dist2.rds

dist3.rds

punkte1.rds

punkte2.rds

punkte3.rds

 

 

 

 

 

 

Job Openings

Wissenschaftlicher Mitarbeiter (m/w/d) 

 

Latest News

 

  1. 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.