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Vorlesung

Titel: "Data Mining in der Bioinformatik" (Vorlesungsverzeichnis)

Dozent: Prof. Dr. Karsten Borgwardt, MPI Entwicklungsbiologie und MPI Intelligente Systeme

Übungsgruppenleiter: Dr. Chloé-Agathe Azencott und Dominik Grimm

Zeitlicher Umfang:

Prüfung: NEU mündlich, Donnerstag 7.3.2013 in der Paul-Ehrlich-Straße 5

Raum: A 301, Sand 1

Anrechenbarkeit:

Voraussetzungen: Grundlegende Mathematikkenntnisse, ansonsten erfordert der Kurs keine Vorkenntnisse

Content:

Feb 18 Classification: Nearest Neighbour, Naive Bayes, Decision Trees, Support Vector Machines
Feb 19 Clustering: K-means, Kernel k-means, Graph-based Clustering, DBScan?, Hierarchical Clustering
Feb 20 Feature Selection: Greedy Feature Selection, Selection Criteria, Submodularity
Feb 21 Text Mining: Numerical Representation of Text, Association Rule Mining, Transductive Classification
Feb 22 Graph Mining: Frequent Subgraph Mining
Feb 25 Classification in Bioinformatics: Insertion-deletion detection with Next-Generation Sequencing
Feb 26 Clustering in Bioinformatics
Feb 27 Feature Selection in Bioinformatics: Epistasis Detection
Feb 28 Graph Mining for Chemoinformatics and Drug Discovery
March 1 Project Presentations (starting 10:00 am s.t.)

Slides:

DIB13_1.pdf

DIB13_2.pdf

DIB13_3.pdf

DIB13_4.pdf

DIB13_5.pdf

DIB13_6.pdf

DIB13_7.pdf

DIB13_8.pdf

DIB13_9.pdf

Presentations on Friday, March 1, 2013:

By 9:45 AM on Friday, March 1, 2013, please submit the following by email to Prof. Borgwardt:

Oral Exams on Thursday, March 7, 2013:

Name Time
Weller A. 11:00
Theiss M. 11:30
Krumpe T. 12:00
Seitz A. 16:00
Hu J. 16:30
Ding W. 17:00
Gieraths U. 17:30