BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
BEGIN:VEVENT
UID:442@biocityturku.fi
DTSTART;TZID=Europe/Helsinki:20191010T120000
DTEND;TZID=Europe/Helsinki:20191010T130000
DTSTAMP:20231013T063134Z
URL:https://biocityturku.fi/events/frontiers-of-science-machine-learning-c
 hallenges-for-single-cell-omics-data/
SUMMARY:Frontiers of Science: Machine learning challenges for single-cell o
 mics data
DESCRIPTION:Prof. Yvan Saeys\, Inflammation Research Center\, VIB-UGent\, B
 elgium\nMachine learning challenges for single-cell omics data\n\nHost: To
 mi Suomi (tomi.suomi@utu.fi)\n\nYvan Saeys is associate professor of Machi
 ne Learning and Systems Immunology at VIB and Ghent University.  He is de
 veloping state-of-the-art data mining and machine learning methods for bio
 logical and medical applications\, and is an expert in computational model
 s to analyse high-throughput single-cell data.  The methods he develops h
 ave been shown to outperform competing techniques\, including computationa
 l techniques for regulatory network inference (best performing team at the
  DREAM5 challenge) and biomarker discovery from high-throughput\, single c
 ell data (best performing team at the FlowCAP-IV challenge).  Yvan Saeys 
 has published &gt\;180 papers in top ranking journals and conferences\, ra
 nging from methodological development in machine learning and bioinformati
 cs to applications in cancer\, immunology and medicine.\n\nSelected public
 ations\nA comparison of single-cell trajectory inference methods. Nature B
 iotechnology\, 2019 (PMID 30936559)\n\nComputational flow cytometry: helpi
 ng to make sense of high-dimensional immunology data. Nature Reviews Immun
 ology\, 2016 (PMID 27320317)\n\nFlowSOM: Using self-organizing maps for vi
 sualization and interpretation of cytometry data. Cytometry A\, 2015 (PMID
  25573116)
CATEGORIES:BiocityTurku events
LOCATION:#_LOCATIONNAME\, #_LOCATIONFULLLINE\, #_LOCATIONCOUNTRY
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=#_LOCATIONFULLLINE\, #_LOCA
 TIONCOUNTRY;X-APPLE-RADIUS=100;X-TITLE=#_LOCATIONNAME:geo:0,0
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
X-LIC-LOCATION:Europe/Helsinki
BEGIN:DAYLIGHT
DTSTART:20190331T040000
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR