ISMB/ECCB 2023 Day 3 recap: synthetic data, large language models, and visualization #shorts
Channel: Lars Juhl Jensen
Date: 26/07/2023

Day 2 started with an excellent keynote from Overton prize recipient Jingyi Jessica Li, who presented work on using synthetic data to improve statistical analysis in bioinformatics [1], such as identification of differentially regulated genes (DEGs) [2] and scDEED analysis of embedding of single-cell data with t-SNE and UMAP [3]. From there I went to the special session on large language models (LLMs), which included a good discussion on what LLMs actually do, what constitutes acceptable use in publishing and reviewing, and impact on education. I spent the rest of the afternoon watching data visualization talks at BioVis, with the most interesting ones for me being PhosNetVis kinase–substrate networks [4] and the invited talk on molecular visualization using gaming engines, virtual reality, and 3D printing [5].

[1] https://pubmed.ncbi.nlm.nih.gov/37169966/
[2] https://pubmed.ncbi.nlm.nih.gov/35292087/
[3] https://pubmed.ncbi.nlm.nih.gov/37163087/
[4] https://phosnetvis.app/
[5] http://www.baaden.ibpc.fr/