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wolfganghuber committed Sep 9, 2024
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10 changes: 6 additions & 4 deletions events/ascona2024-program.tsv
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Expand Up @@ -31,9 +31,11 @@ Wednesday September 11th 9:00-9:50 Keynote talk: Peer Bork Microbiome analysis f
12:15 Lunch
Unstructured time
15:30-16:00 Coffee and cake
16:00-16:50 Keynote talk: Ewa Szczurek Modeling Evolutionary, Spatial, Transcriptional, and Cell Type Composition of Tissues
17:00-18:00 Poster session 2 (Posters 24-47)
18:30 Conference Dinner <a href="https://maps.app.goo.gl/eLd7cEss2bR4adTT9">Grotto Broggini restaurant</a>
16:00-16:50 Keynote talk: Dmitry Kobak All embedddings are wrong, but some are useful
17:00-18:30 Poster session 2 (Posters 24-47)
18:30 Depart for walk to Conference Dinner <a href="https://maps.app.goo.gl/eLd7cEss2bR4adTT9">Grotto Broggini restaurant</a>
18:45 Bus departing
19:00 Conference Dinner <a href="https://maps.app.goo.gl/eLd7cEss2bR4adTT9">Grotto Broggini restaurant</a>
Thursday September 12th 9:00-9:50 Keynote talk: Anna Kreshuk
9:50-10:15 Contributed talk: Chenchen Zhu Performance comparison of spatially resolved transcriptomics methods at single cell resolution for cell atlasing
10:15-10:45 Coffee break
Expand All @@ -52,4 +54,4 @@ Friday September 13th 9:00-9:50 Keynote talk: Emma Schymanski Tracking Chemical
11:10-11:35 Contributed talk: Shadi Shafighi Tumoroscope: a probabilistic model for mapping cancer clones in tumor tissues
11:35-12:00 Contributed talk: Eloise Withnell SpottedPy uncovers new environmental cues of epithelial-mesenchymal plasticity in cancer
12:15 Lunch
Departure
Departure
2 changes: 1 addition & 1 deletion events/ascona2024.qmd
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Expand Up @@ -182,7 +182,7 @@ Generating synthetic human genomes using diffusion models
Assessing the overall and partial causal well-specification of nonlinear additive noise models
38. Swayamshree Senapati --
Polymer and Kinetic Modeling Unveils Quantitative Association of Chromatin Conformation
and Gene Regulation
and Gene Regulation
39. Lutecia Servius --
Accurate Prediction of Antibody Isotype Distribution During Immune Response Time Course
Using Aggregate Data
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