|Date||21 - 25 November 2016|
|Fees||*academic: 200 CHF - for-profit: 0 CHF|
|Cancellation deadline||11 Oct 2016|
This course is organised by the SIB PhD Training Network, SystemsX.ch and the Next Generation Sequencing Discussion Group of the University of Zurich. Priority is given to their members, but is open to everyone.
This course introduces several important machine learning algorithms used in bioinformatics and illustrates them with examples of applications in the field of genomics, clinic and microbiology.
Life scientists with basic skills in bioinformatics and statistics.
Upon completion of this course, participants are supposed to:
Knowledge / competencies:
basic mathematical background, knowledge of R and one scripting programming knowledge (Python or Perl for example).
Laptop with recent versions of R and Matlab installed, 3 GB of free disk space.
This course is full with a long waiting list, thank you for understanding...
The registration fees for academics are 200 CHF. This includes course content material, coffee breaks, and a social dinner. Participants from non-academic institutions should contact us before application.
Deadline for registration and free-of-charge cancellation is set to November 12, 2016. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to this and other general conditions, available here.
You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.
Room Y55-L-06/08, Irchel campus
University of Zurich, Winterthurstrasse 190
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Days 1 & 2: Introduction to Machine Learning: concepts and methods
Dr Frédéric Schütz, University of Lausanne and Bioinformatics Core Facility Group, SIB Swiss Institute of Bioinformatics, Lausanne.
Days 3 to 5: Applications with use cases:
Day 3 - Deep learning methods and cancer genomics
Prof Ivo Kwee, Bioinformatics Core Unit, SIB and Institute of Oncology Research, Bellinzona, Switzerland
Day 4 - Feature selection for biomarker discovery from high-content -omics data
Prof Carlos Peña-Reyes, Computational Intelligence for Computational Biology, HEIG-VD/SIB Swiss Institute of Bioinformatics, Yverdon, Switzerland
Day 5 - Machine Learning and metagenomics to study microbial communities
Dr Luis Pedro Coelho, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.