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D-BSSE, ETH Zurich on Twitter: "Researchers, clinicians, policy makers are united by a vision of how to revolutionise healthcare. Niko Beerenwinkel, head of @cbg_ethz, is a member of the @LifeTimeIni consortium which
Mathematical Biosciences Institute :: Video
Learning Multiple Evolutionary Pathways from Cross-sectional Data Niko Beerenwinkel, Jorg Rahnenfuhrer, Martin Daumer, Daniel Hoffmann,Rolf Kaiser, Joachim. - ppt download
Niko Beerenwinkel - Wikipedia
Computational Analysis of HIV Drug Resistance Data : Niko Beerenwinkel : 9783832226398
ESR 3: Development of new computational methods for characterisation and analyses of intra-host viral populations – VIROINF
ESR 7: Generation of datasets for phage-bacterial interactions in complex communities and mutational spectra analysis following exposure to selective pressure – VIROINF
UZH - SKINTEGRITY.CH - Prof. Niko Beerenwinkel
Niko Beerenwinkel featured by Stiftung Gen Suisse as researcher of the month – Department of Biosystems Science and Engineering | ETH Zurich
Niko Beerenwinkel's group
Estimating cancer survival and clinical outcome based on genetic tumor progression scores Jörg Rahnenführer 1,*, Niko Beerenwinkel 1,, Wolfgang A. Schulz. - ppt download
European Lab for Learning & Intelligent Systems
Lecture Series – The Turing Centre | ETH Zurich
Advances in understanding tumour evolution through single-cell sequencing – topic of research paper in Biological sciences. Download scholarly article PDF and read for free on CyberLeninka open science hub.
Scientist-in-Charge – VIROINF
Keynote and Invited Speakers | ISBRA 2019
Pejman Mohammadi, Niko Beerenwinkel, Yaakov Benenson Cell Systems - ppt download
Event: D-BSSE meets Alumni 2017 – Alumni | ETH Zurich
PDF) Single-cell mutation identification via phylogenetic inference
PeerJ - Profile - Stephanie Hicks
People working in Research Group Computational Biology
PDF) Bioinformatics for precision oncology
Loop | Niko Beerenwinkel
All tumours are different - a lecture by Niko Beerenwinkel – Department of Biosystems Science and Engineering | ETH Zurich