๐งต1/9 How do we extract signal-specific information from single-cell data? In our new #CellSystems paper, we introduce bioIB - a method for signal-aware, biologically interpretable compression. With @zoe_piran, Amit Alper, Adi Yefroimsky, Hermona Soreq, supervised by @mor_nitzan
1/7
How are cells spatially reorganized between conditions in tissues?
Introducing CASEI: a method for inferring condition-associated spatial phenotypes in spatial omics data.
w/ Roy Friedman (https://t.co/qm7qK1lBlS) & @mor_nitzan
https://t.co/9SNJZKsOkD
๐งต1/9 How do we extract signal-specific information from single-cell data? In our new #CellSystems paper, we introduce bioIB - a method for signal-aware, biologically interpretable compression. With @zoe_piran, Amit Alper, Adi Yefroimsky, Hermona Soreq, supervised by @mor_nitzan
8/9
We further demonstrate bioIB in epithelial-to-mesenchymal transition and immune development, uncovering signal-specific gene programs and transitions.
To succeed in science, we must learn to fail. Big discoveries often come from getting comfortable with failure โ but no one teaches grad students how to do that. Why donโt we talk more about failure in science? Itโs time we start. ๐งต
5/ Sharing what we donโt know is just as important as sharing our wins. It helps us beat frustration and opens the door to real discoveries.
Letโs make academia more honestโand more humanโby talking about failure. Share your BrainFREEZE! ๐ง โ๏ธ