BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//BIFI -  - Institute for Biocomputation and Physics of Complex Systems - ECPv6.15.11//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:BIFI -  - Institute for Biocomputation and Physics of Complex Systems
X-ORIGINAL-URL:https://bifi.es/es/
X-WR-CALDESC:Eventos para BIFI -  - Institute for Biocomputation and Physics of Complex Systems
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Madrid
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20250314T123000
DTEND;TZID=Europe/Madrid:20250314T143000
DTSTAMP:20260308T214354
CREATED:20250311T145232Z
LAST-MODIFIED:20250311T145232Z
UID:8558-1741955400-1741962600@bifi.es
SUMMARY:BIFI-TALK: Xavier de la Cruz Monserrat.  Vall d'Hebron Institute of Research\, Barcelona
DESCRIPTION:BIFI-TALK: Xavier de la Cruz Monserrat. Vall d’Hebron Institute of Research\, Barcelona \nTitle: Cracking the Hereditary Disease Code: Revisiting Predictive Properties with a Probabilistic Touch \nAbstract \nAs genomic sequencing becomes widespread in clinical settings\, in silico pathogenicity predictions are increasingly vital for precision medicine. However\, despite advances in machine learning-based classifiers\, existing approaches are reaching a performance plateau while still facing interpretation challenges. In response\, a paradigm shift has emerged in recent years\, moving from binary classification toward modeling the quantitative impact of genetic variants.\nOur work in this area has shown good performance\, as demonstrated by our contributions to the CAGI5 and CAGI6 challenges\, yet there is still room for improvement. In this talk\, I will focus on a key aspect of pathogenicity prediction: the extraction of new discriminant features from traditional predictive properties\, using a simple probabilistic framework. In particular\, I will share insights from our approach and present preliminary results that highlight its potential impact on predictive models. \nFriday\, 14 February 2025\, 12:30 h\nConference Room. Edificio I+D \n 
URL:https://bifi.es/es/schedule/bifi-talk-xavier-de-la-cruz-monserrat-vall-dhebron-institute-of-research-barcelona/
LOCATION:Edificio Institutos I+D\, Mariano Esquillor\, 50018 Zaragoza\, Zaragoza\, Zaragoza\, 50018\, España
CATEGORIES:Eventos
END:VEVENT
END:VCALENDAR