DevoWorm (2024, #19): Graphs for Development, Cancer Physics, Limits of Biomolecular Simulation скачать в хорошем качестве

DevoWorm (2024, #19): Graphs for Development, Cancer Physics, Limits of Biomolecular Simulation

Attendees: Mehul Arora, Richard Gordon, Susan Crawford-Young, Jesse Parent, Hussain Ather, Morgan Hough, and Bradly Alicea Graph Neural Hypernetwork implementation. Matrices versus Message Passing. Toolboxes, input data, and lineage tree modeling techniques. C. elegans lineage tree datasets. Cell tracking of lineage trajectory dynamics. Breast cancer physics, multiphysics approaches, and 3-D Slicer. Square arrays and triangular arrays. Experiments at the edge of survivability. The good and the bad of biomolecular modeling, the (difficult) state of biological modeling and Deep Learning. Papers: So where are we with deep learning for biochem? Lada Nuzhna blog, https://www.ladanuzhna.xyz/writing/de... 3-D Slicer Image Processing tool: https://www.slicer.org/ Fedorov et.al (2012). 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magnetic Resonance Imaging, 30(9), 1323-1341. Gupta et.al (2022). The ugly, bad, and good stories of large-scale biomolecular simulations. Current Opinions in Structural Biology, 73, 102338. Bai et.al (2021). Hypergraph Copnvolution and Attention. Pattern Recognition, 110, 107637.