VISIOMICS - Platform supporting an integrated analysis of image and multiOMICs data for biology based advanced tumor diagnostics

Autoren Eva Bozsaky
Teresa Gerber
Fikert Rifatbegovic
Reza Abbasi
Niko Popitsch
Maximilian Kauer
Lukas Fischer
Hamid Eghbal-zadeh
Katja Bühler
Shiva Alemzadeh
Kresmimir Matkovic
Albert Kriegner
Johannes Palme
Martin Dulovits
Allan Hanbury
Mihai Lupu
Abdel Aziz Taha
Alexandros Bampoulidis
Christian Ostalecki
Martin Kampel
Michael Atanasov
Maria Berneder
Andrea Ziegler
Inge M. Ambros
Sabine Taschner-Mandl
Peter F. Ambros
Editoren
Titel VISIOMICS - Platform supporting an integrated analysis of image and multiOMICs data for biology based advanced tumor diagnostics
Typ sonst
Ort "From Lab to Life" Childhood Cancer Research Initiatives, Vienna, Austria, October 18-20, 2018.
Monat October
Jahr 2018
SCCH ID# 18077
Abstract

Experts from medicine, biology, bioinformatics, big data analysis, deep learning and visual analytics develop innovative strategies to process, integrate and explore multiOMICs datasets, fluorescence images and clinical data. This will enable novel biological insights and an efficient development of new diagnostic analysis workflows.