Mathematical Frameworks for Integrative Analysis of Emerging Biological Data Types


Banff International Research Station

Audience: Researchers in the topic
Seminar series times: No fixed schedule
Organizer: BIRS Programme Coordinator*
*contact for this listing

Accurate mathematical models of biological cells during health and disease are essential in understanding biology, advancing precision medicine and treating disease. Emerging technologies, such as RNA and DNA sequencing give clinical and basic research laboratories great power to quantify tens of thousands of biological molecules and generate highly detailed biological maps at different molecular, spatial and temporal resolutions. Integrating these diverse data may provide a comprehensive multi-layer view of a biological system that cannot be obtained by considering each dataset individually. However, currently biological insight is hindered by the inherent complexity of the data and paucity of methods to integrate these data. By gathering mathematical, statistical and computational experts in the field of genomic data integration, pioneer solutions for data integration problems will be discussed. This workshop will promote the development of cutting edge mathematical, statistical and computational methods to extract reliable information from big biological data. The anticipated deliverables are a set of open source resources for international scientists to use and reuse on their own data, to accelerate the pace and impact of discoveries in this exciting field of research.

Datasets will be available on github Contact us on slack

Upcoming talks
Past talks
Your timeSpeakerTitle
FriJun 1912:00Vincent CareySoftware Infrastructure
ThuJun 1813:30Michael LoveBenchmarking
ThuJun 1812:00Susan HolmesKeynote Talk: Computational Challenges
WedJun 1714:10Wouter MeulemanIntegration sc chromatin : DNase-seq data across 733 biosamples
WedJun 1713:40Arshi ArorascNMT-seq:MOSAIC, or Multi-Omic Supervised Integrative Clustering
WedJun 1713:20Joshua WelchscNMT-seq: LIGER
WedJun 1713:00Al J AbadiscNMT-seq: multivariate integrative analyses
WedJun 1711:30Oliver StegleKeynote Talk (scNMT-seq study)
TueJun 1614:40Duncan ForsterNetworks - learning salient gene and protein features from network topologies
TueJun 1613:40Pratheepa Jeganathansc targeted proteomics:Stan model for latent Dirichlet allocation
TueJun 1613:20Chen Mengsc targeted proteomics: comparing multi-block PCA, linear regression
TueJun 1613:00Yingxin Linsc targeted proteomics: Predicting outcome, survival from 3 proteomics datasets (Keren, Jackson, Wagner)
TueJun 1611:30Bernd BodenmillerKeynote Talk (single cell proteomics)
TueJun 1611:00Aedin Culhanesc targeted proteomics session
MonJun 1514:40Joshua SodicoffCORTEX seq-FISH: integration with scRNA-seq data
MonJun 1514:20Singh AmritCORTEX seq-FISH: integration with scRNA-seq data
MonJun 1513:40Dario RighelliCORTEX seq-FISH: software structure and data integration
MonJun 1513:20Hang XuCORTEX seq-FISH: selection of spatial coherent genes
MonJun 1513:00Alexis CoullombCORTEX seq-FISH: clustering
MonJun 1511:30Guocheng YuanKeynote Talk (Cortex seq-FISH study)
MonJun 1511:25Elana FertigCORTEX seq-FISH session
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