BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20240310T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:6830eb77dcb90 DTSTART;TZID=America/Toronto:20240417T100000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20240417T110000 URL:/computer-science/events/phd-seminar-bioinformatics -efficient-protein-inference-with-graph-neural-networks SUMMARY:PhD Seminar • Bioinformatics • Efficient Protein Inference with \nGraph Neural Networks CLASS:PUBLIC DESCRIPTION:Summary \n\nPLEASE NOTE: THIS PHD SEMINAR WILL TAKE PLACE ONLIN E.\n\nZHENG MA\, PHD CANDIDATE\n_David R. Cheriton School of Computer Scie nce_\n\nSUPERVISORS: Professors Ali Ghodsi\, Ming Li\n\nThe integration of deep learning approaches in biomedical research has\nbeen transformative\ , enabling breakthroughs in various applications.\nDespite these strides\, its application in protein inference is impeded\nby the scarcity of exten sively labeled datasets\, a challenge\ncompounded by the high costs and co mplexities of accurate protein\nannotation.\n DTSTAMP:20250523T214111Z END:VEVENT END:VCALENDAR