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Showing 1–3 of 3 results

Advanced filters: Author: Honesty J. Kim Clear advanced filters

Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens

A graph neural network that leverages spatial protein profiles in tissue specimens to model tumour microenvironments as local subgraphs captures distinctive cellular interactions associated with differential clinical outcomes.

Zhenqin Wu
Alexandro E. Trevino
James Zou
Research10 Nov 2022
Nature Biomedical Engineering

Volume: 6, P: 1435-1448
4-bit adhesion logic enables universal multicellular interface patterning

A synthetic cell-cell adhesion logic using swarming E. coli with 4 bits of information is introduced, enabling the programming of interfaces that combine to form universal tessellation patterns over a large scale.

Honesty Kim
Dominic J. Skinner
Ingmar H. Riedel-Kruse
ResearchOpen Access10 Aug 2022
Nature

Volume: 608, P: 324-329
Interactive and scalable biology cloud experimentation for scientific inquiry and education

A real-time interactive, fully automated, low-cost and scalable biology cloud experimentation platform could provide access to scientific experimentation for learners and researchers alike.

Zahid Hossain
Engin W Bumbacher
Ingmar H Riedel-Kruse
Comments & Opinion07 Dec 2016
Nature Biotechnology

Volume: 34, P: 1293-1298