Order from chaos: Using CSF proteomics to predict ALS progression

Xiuli Yang; Lindsey R. Hayes

doi:10.1002/acn3.51910

Order from chaos: Using CSF proteomics to predict ALS progression

School of Medicine

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Pages (from-to)	2176-2178
Number of pages	3
Journal	Annals of Clinical and Translational Neurology
Volume	10
Issue number	12
DOIs	https://doi.org/10.1002/acn3.51910
State	Published - Dec 2023

ASJC Scopus subject areas

General Neuroscience
Clinical Neurology

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10.1002/acn3.51910

Cite this

@article{7997d8ed3442451482b8819e7ab92728,

title = "Order from chaos: Using CSF proteomics to predict ALS progression",

author = "Xiuli Yang and Hayes, {Lindsey R.}",

year = "2023",

month = dec,

doi = "10.1002/acn3.51910",

language = "English (US)",

volume = "10",

pages = "2176--2178",

journal = "Annals of Clinical and Translational Neurology",

issn = "2328-9503",

publisher = "John Wiley & Sons Inc.",

number = "12",

}

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T2 - Using CSF proteomics to predict ALS progression

AU - Yang, Xiuli

AU - Hayes, Lindsey R.

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JO - Annals of Clinical and Translational Neurology

JF - Annals of Clinical and Translational Neurology

IS - 12

ER -

Order from chaos: Using CSF proteomics to predict ALS progression

ASJC Scopus subject areas

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