Astrocyte regional heterogeneity revealed through machine learning‐based glial neuroanatomical assays-Reference-Cited by-同舟云学术

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Astrocyte regional heterogeneity revealed through machine learning‐based glial neuroanatomical assays

Published:2021-03-08 Issue: Volume: Page:
ISSN:0021-9967
Container-title:Journal of Comparative Neurology
language:en
Short-container-title:J Comp Neurol

Author:

Blackburn Jessica¹²,Alves Michele Joana¹,Aslan Mehmet Tahir¹,Cevik Lokman¹,Zhao Jing³,Czeisler Catherine M.¹,Otero José Javier¹^ORCID

Affiliation:

1. Department of Pathology, Division of Neuropathology The Ohio State University College of Medicine Columbus OH USA

2. Department of Biomedical Education & Anatomy, Division of Anatomy The Ohio State University College of Medicine Columbus OH USA

3. Department of Biomedical Informatics The Ohio State University College of Medicine Columbus OH USA

Publisher

Wiley

Subject

General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cne.25105

Reference52 articles.

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3. Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre‐processing parameters;Brynolfsson P.;Scientific Reports,2017

4. A transcriptome database for astrocytes, neurons, and oligodendrocytes: A new resource for understanding brain development and function;Cahoy J. D.;The Journal of Neuroscience,2008

5. Spinal sample showing p‐JNK and P38 associated with the pain signaling transduction of glial cell in neuropathic pain;Cao J.;Spinal Cord,2015

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