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Introduction to simulation, network and data analysis in cancer and oncotherapy (IntCanSysBio_f_Eng)2.5 ECTS (englische Bezeichnung: Introduction to simulation, network and data analysis in cancer and oncotherapy)
Modulverantwortliche/r: Julio Vera-Gonzalez Lehrende:
Julio Vera-Gonzalez, Xin Lai, Christopher Lischer
Startsemester: |
SS 2020 | Dauer: |
1 Semester | Turnus: |
jährlich (SS) |
Präsenzzeit: |
30 Std. | Eigenstudium: |
45 Std. | Sprache: |
Englisch |
Lehrveranstaltungen:
Inhalt:
In Cancer Systems Biology quantitative biomedical data from experimental models and patients are investigated using advanced data analysis and computational modelling and simulation of molecular and cell-to-cell interaction networks. The aim is to detect processes deregulated in cancer for understanding their role in cancer progression and development, support cancer drug discovery and personalized treatments.
In this lectures series we introduce the basics of bioinformatics and computational modelling in Cancer Systems Biology, and its integration with data and network analysis. The lectures have practical sessions on computer modelling and simulation of cancer.
Topics included are:
Foundations of Cancer Biology
Basics of Cancer Bioinformatics and Systems Biology
High throughput data analysis, integration, and mining in cancer
Computational model calibration, simulation and analysis
ODE models of cancer networks
Boolean models of cancer networks
Multi-level modelling in cancer
Tumor growth models
Pharmacokinetics and pharmacodynamics models in cancer
Tumor epitopes detection and analysis
Lernziele und Kompetenzen:
The students:
Learn computational workflows for bioinformatics and computational modelling applied to cancer
Derive, calibrate, and analyze computational models
Learn methods for making model-based inferences in cancer networks
Derive, calibrate, and simulate computational models for cancer networks, tumor growth models and pharmacokinetics/pharmacodynamics models
Understand the potential of computational modelling of cancer networks in anticancer therapy discovery
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan: Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:
- Medizintechnik (Master of Science)
(Po-Vers. 2019w | TechFak | Medizintechnik (Master of Science) | Modulgruppen M1, M2, M3, M5, M7 nach Studienrichtungen | Studienrichtung Medizinische Bild- und Datenverarbeitung | M1 Medizinische Vertiefungsmodule | Introduction to simulation, network and data analysis in cancer and oncotherapy)
- Medizintechnik (Master of Science)
(Po-Vers. 2019w | TechFak | Medizintechnik (Master of Science) | Modulgruppen M1, M2, M3, M5, M7 nach Studienrichtungen | Studienrichtung Medizinelektronik | M1 Medizinische Vertiefungsmodule | Introduction to simulation, network and data analysis in cancer and oncotherapy)
- Medizintechnik (Master of Science)
(Po-Vers. 2019w | TechFak | Medizintechnik (Master of Science) | Modulgruppen M1, M2, M3, M5, M7 nach Studienrichtungen | Studienrichtung Medizinische Produktionstechnik, Gerätetechnik und Prothetik | M1 Medizinische Vertiefungsmodule | Introduction to simulation, network and data analysis in cancer and oncotherapy)
Studien-/Prüfungsleistungen:
Introduction to simulation, network and data analysis in cancer and oncotherapy (Prüfungsnummer: 845913)
(englischer Titel: Introduction to simulation, network and data analysis in cancer and oncotherapy)
- Prüfungsleistung, mündliche Prüfung, Dauer (in Minuten): 30, benotet, 2.5 ECTS
- Anteil an der Berechnung der Modulnote: 100.0 %
- Erstablegung: SS 2020, 1. Wdh.: WS 2020/2021
1. Prüfer: | Julio Vera-Gonzalez |
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UnivIS ist ein Produkt der Config eG, Buckenhof |
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