A 2.5 DAY WORKSHOP on the use of artificial intelligence and machine learning of the analysis of single-cell spatial transcriptomics, in Lyon, France.
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The analysis of data from single-cell, potentially spatial, transcriptomics, increasingly relies on artificial intelligence (AI) or machine learning (ML) computer tools. Beyond the familiar clustering of single-cells, they promise to offer access to a wide spectrum of far-reaching biological information, including the inference of cell-cell interactions, lineage reconstructions or the 3d spatial organisation of the tissue.
The workshop will deliver both general introductions targeting the non-expert biologist who plans to start using these algorithms, and state-of-the-art methodology-oriented talks for a more expert audience.
Venue
The Workshop will take place in the Conference Room of the
Science University Library of Université Claude Bernard Lyon 1 (BU Sciences)
on the Lyon La Doua Campus.
Address: Domaine de la Doua - 20 avenue Gaston Berger, 69622 Villeurbanne Cedex, France. GPS: 45.78203257421637, 4.870511781811795
Lunches will be at the nearby Domus Restaurant (see the map below).
How to get there (see the map below):
Access by train or plane
From Lyon St-Exupery (LYS) airport : Take the airport shuttle Rhone-Express to Lyon City Center. Exit at Part-Dieu train station.
From Part-Dieu train station: take Tramway line T1 for "IUT Feyssine" and exit at station "Université Lyon 1" or "Gaston Berger".
From Perrache train station: Take metro line A (for "Laurent Bonnevay") and exit at Station "Charpennes". There, take Tramway line T1 (for "IUT Feyssine") and exit at station "Université Lyon 1" or "Gaston Berger".
Access by car:
Arriving by the East By-Pass ("Rocade Est") : take exit 1B then exit "Croix Luizet". Follow "La Doua" then "Domaine Scientifique de la Doua"
Arriving by Laurent Bonnevay Boulevard: take exit 6 ("Porte de Croix Luizet"), then follow "Domaine Scientifique de la Doua"
The workshop features both general introductory talks and expert-level methodology-oriented presentations. As well as live sessions demos of application packages for concrete illustration of use cases!