EMBO|FEBS Lecture Course ‘Cancer systems biology: Promises of artificial intelligence’ Bioinformatics Cancer systems biology: promises of artificial intelligence EMBO|FEBS Lecture Course ‘Cancer systems biology: Promises of artificial intelligence’ Institut Curie Training Unit Mar 23, 2021
Andrei Zinovyev – Didactic introductory lecture on AI approaches in systems biology Cancer systems biology: promises of artificial intelligence Andrei Zinovyev – Didactic introductory lecture on AI approaches in systems biology Institut Curie Training Unit Mar 23, 2021
Laura Cantini – Benchmarking of computational approaches to multi-omics data analysis Cancer systems biology: promises of artificial intelligence Laura Cantini – Benchmarking of computational approaches to multi-omics data analysis Institut Curie Training Unit Mar 23, 2021
Natasa Przulj – Analyzing Network Data in Biology and Medicine Cancer systems biology: promises of artificial intelligence Natasa Przulj – Analyzing Network Data in Biology and Medicine Institut Curie Training Unit Mar 23, 2021
Nataliya Sokolovska – Interpretable models for clinical scores Cancer systems biology: promises of artificial intelligence Nataliya Sokolovska – Interpretable models for clinical scores Institut Curie Training Unit Mar 23, 2021
David Wedge – Stratification of prostate cancers through the application of machine learning to sequencing data Cancer systems biology: promises of artificial intelligence David Wedge – Stratification of prostate cancers through the application of machine learning to sequencing data Institut Curie Training Unit Mar 23, 2021
Susana Vinga – Cancer classification and survival analysis through sparse optimization and network-based regularisers Cancer systems biology: promises of artificial intelligence Susana Vinga – Cancer classification and survival analysis through sparse optimization and network-based regularisers Institut Curie Training Unit Mar 23, 2021
Valentina Boeva – Machine learning methods for the detection of intratumoral heterogeneity in cancer Cancer systems biology: promises of artificial intelligence Valentina Boeva – Machine learning methods for the detection of intratumoral heterogeneity in cancer Institut Curie Training Unit Mar 23, 2021
Chloe-Agathe Azencott – Feature selection with regularization in high-dimensional genomics data Cancer systems biology: promises of artificial intelligence Chloe-Agathe Azencott – Feature selection with regularization in high-dimensional genomics data Institut Curie Training Unit Mar 23, 2021
Yves Moreau – Bayesian matrix factorization and deep learning for drug discovery and precision medicine Cancer systems biology: promises of artificial intelligence Yves Moreau – Bayesian matrix factorization and deep learning for drug discovery and precision medicine Institut Curie Training Unit Mar 23, 2021
Jean-Philippe Vert – Robust machine learning for cancer precision medicine Cancer systems biology: promises of artificial intelligence Jean-Philippe Vert – Robust machine learning for cancer precision medicine Institut Curie Training Unit Mar 23, 2021
Olli Kallioniemi – AI approaches in Precision Cancer Medicine Cancer systems biology: promises of artificial intelligence Olli Kallioniemi – AI approaches in Precision Cancer Medicine Institut Curie Training Unit Mar 23, 2021
Lodewyk Wessels – Mapping cellular networks in cancer Cancer systems biology: promises of artificial intelligence Lodewyk Wessels – Mapping cellular networks in cancer Institut Curie Training Unit Mar 23, 2021
Andrew Teschendorff – Machine Learning approaches for large scale multi-dimensional cancer omics data analysis Cancer systems biology: promises of artificial intelligence Andrew Teschendorff – Machine Learning approaches for large scale multi-dimensional cancer omics data analysis Institut Curie Training Unit Mar 23, 2021
Julio Saez-Rodriguez – Supporting Machine Learning with Prior Biological Knowledge to extract insight from omics data (Part 1) Cancer systems biology: promises of artificial intelligence Julio Saez-Rodriguez – Supporting Machine Learning with Prior Biological Knowledge to extract insight from omics data (Part 1) Institut Curie Training Unit Mar 23, 2021
Julio Saez-Rodriguez – Supporting Machine Learning with Prior Biological Knowledge to extract insight from omics data (Part 2) Cancer systems biology: promises of artificial intelligence Julio Saez-Rodriguez – Supporting Machine Learning with Prior Biological Knowledge to extract insight from omics data (Part 2) Institut Curie Training Unit Mar 23, 2021
Christina Leslie – Machine learning in regulatory genomics and systems biology Cancer systems biology: promises of artificial intelligence Christina Leslie – Machine learning in regulatory genomics and systems biology Institut Curie Training Unit Mar 23, 2021
Touati Benoukraf – DNA methylation and Cancer Cancer systems biology: promises of artificial intelligence Touati Benoukraf – DNA methylation and Cancer Institut Curie Training Unit Mar 23, 2021
Florian Markowetz – Image analysis of the tumour tissue and early detection by AI Cancer systems biology: promises of artificial intelligence Florian Markowetz – Image analysis of the tumour tissue and early detection by AI Institut Curie Training Unit Mar 23, 2021
Thomas Walter – Exploring the spatial aspects of gene expression Cancer systems biology: promises of artificial intelligence Thomas Walter – Exploring the spatial aspects of gene expression Institut Curie Training Unit Mar 23, 2021
Emma Lundberg – AI for improved spatial proteomics Cancer systems biology: promises of artificial intelligence Emma Lundberg – AI for improved spatial proteomics Institut Curie Training Unit Mar 23, 2021
