BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Institute for Bioengineering of Catalonia - ECPv6.3.5//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Institute for Bioengineering of Catalonia X-ORIGINAL-URL:https://ibecbarcelona.eu/es/ X-WR-CALDESC:Eventos para Institute for Bioengineering of Catalonia 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:20200329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20201025T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Madrid:20200703T100000 DTEND;TZID=Europe/Madrid:20200703T120000 DTSTAMP:20240328T092538 CREATED:20200605T081640Z LAST-MODIFIED:20200605T082759Z UID:74894-1593770400-1593777600@ibecbarcelona.eu SUMMARY:Online IBEC Seminar: Santiago Marco DESCRIPTION:Signal and Data Processing Workflows for Untargeted Chemical Analysis: Sensor Array and Mass Spectrometry Analysis of Complex Gas Samples\n \nSantiago Marco \, IBEC \nIn diverse sectors such as health\, food\, environment\, complex natural gas samples are analysed. Those samples can contain hundreds or thousands of compounds. In many cases\, the question to be answered does not require full separation\, quantification\, and identification of all compounds. Instead detection of abnormal samples (normal/ faulty)\, assignation of classes to samples (e.g.healthy/disease)\, or evaluation of global quantitative indexes (e.g odour intensity) is required. \nThe analysis of gas phase samples can be carried out with high-end lab equipment based on Chromatography-Mass Spectrometry or lower cost systems based on chemical sensors. In all cases\, the resulting raw signals/data need substantial efforts to extract the hidden information. In health applications the problem of biomarker discovery becomes like finding a needle in a haystack. Intimate knowledge of the instrumental problems and the sampling conditions is key for the correct interpretation of the results. \nThese problems are often addressed by building mega-variate predictive models using tools from machine learning. However\, in small sample conditions the possibilities to obtain overoptimistic results abound due to the curse of dimensionality. Careful model validation and statement of model validity domains is needed. \nThe seminar will take place online at the GoToMeeting Platform \nKnow more about Santiago Marco’s research here \n  \nShare this...FacebookPinterestTwitterLinkedin URL:https://ibecbarcelona.eu/es/event/online-ibec-seminar-santiago-marco/ CATEGORIES:IBEC Seminar END:VEVENT END:VCALENDAR