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UID:325@biocityturku.fi
DTSTART;TZID=Europe/Helsinki:20190405T100000
DTEND;TZID=Europe/Helsinki:20190405T110000
DTSTAMP:20231013T062128Z
URL:https://biocityturku.fi/events/lifespan-seminar-lukas-kall/
SUMMARY:Lifespan seminar: Lukas Käll
DESCRIPTION:Professor Lukas Käll\, School of Engineering Sciences in Chemi
 stry\, Biotechnology and Health\, KTH - Royal Institute of Technology\, St
 ockholm\, Sweden\nMachine learning methods for the interpretation of label
 -free proteomics data\n\nHost: Laura Elo (laura.elo@utu.fi)\n\nCoffee and 
 cookies will be served at 9:45.\n\nLukas Käll has a Ph.D. from Karolinska
  Institutet and completed a post-doc at the University of Washington\, USA
 . His group develops machine-learning methods for facilitating the interpr
 etation of high-throughput experiments. He has developed a wide variety of
  bioinformatical tools\, such as Phobius\, MaRaCluster\, and Percolator. L
 ukas Käll is currently a Professor of Applied Systems Biology at KTH - Ro
 yal Institute of Technology\, Science for Life Laboratory.\n\nPublication 
 list:\nhttps://scholar.google.se/citations?user=aZALISYAAAAJ&amp\;hl=en\n\
 nPublications mentioned in the talk\nSemi-supervised learning for peptide 
 identification from shotgun proteomics datasets\nL Käll\, JD Canterbury\,
  J Weston\, WS Noble\, MJ MacCoss. Nature methods 4 (11)\, 923\, 2007\n\nM
 aRaCluster: A fragment rarity metric for clustering fragment spectra in sh
 otgun proteomics.\nM The\, L Käll. Journal of Proteome Research 15 (3)\,
  713-720\, 2016\n\nIntegrated identification and quantification error prob
 abilities for shotgun proteomics\nM The\, L Käll. Molecular &amp\; Cellul
 ar Proteomics 18 (3)\, 561-570\, 2019\n\nFocus on the spectra that matter 
 by clustering of quantification data in shotgun proteomics\nM The\, L Käl
 l. BioRxiv\, 488015\, 2018\nhttps://www.biorxiv.org/content/biorxiv/early/
 2018/12/06/488015.full.pdf
CATEGORIES:BiocityTurku events
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TZID:Europe/Helsinki
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