A deep-learning algorithm could potentially improve diagnosis and classification of neurological abnormalities.
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Edited by David A. Weitz, Harvard University, Cambridge, MA, and approved November 21, 2016 (received for review August 25, 2016)
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- Published in issue January 3, 2017.
- Published first December 20, 2016.
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- ↵1To whom correspondence should be addressed. Email: lkang{at}mail.med.upenn.edu.
Author contributions: L.K. and T.C.L. designed research, performed research, analyzed data, and wrote the paper.
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1613732114/-/DCSupplemental.
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Liquid crystal chirality stabilizes membrane rafts
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- Phase Separation Between Virus Species
- Landau Coefficients for Phase Separation
- Raft Organization and Structure
- Derivation of the Single-Domain Free Energy
- Calculation of the Virus Tilt Angle
- Raft–Raft Repulsion
- Calculation of the Raft Shift Free Energy
- Discussion
- General Membrane Rafts Formed from Chiral Rod-Like Particles
- Chiral Contribution to Phase Separation
- Overview of the Linear System
- Acknowledgments
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