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Qin, Yue; Marquez, Charlotte (Curtis); Ideker, Trey
Description
Caption: Using a groundbreaking new technique we can now decode human cell structure directly from data Participant category: Graduate student Department: School of Medicine In “A multi-scale map of cell structure fusing protein images and interactions” (Yue Qin, et al. Nature 2021), scientists demonstrate a groundbreaking AI approach in silico to decode the convoluted human cell structure directly from data. This innovative new approach to mapping cell structure combines microscopy, biochemistry and artificial intelligence to reveal previously unknown cell components. Here we see MuSIC interpreted as binary streams of data raining down to form the structure of a cell. Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Qin, Yue; Marquez, Charlotte (Curtis); Ideker, Trey (2022). Decoding Cell Structure. In Art of Science. UC San Diego Library Digital Collections. https://doi.org/10.6075/J07S7NZM
Type
image
Identifier
ark:/20775/bb1648112z
Language
No linguistic content
Subject
Artificial intelligence Cell components Art and science Biochemistry Microscopy Art of Science Contest - 2022
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