A Practical Guide to Sparse k-Means Clustering for Studying Molecular Development of the Human Brain

A Practical Guide to Sparse k-Means Clustering for Studying Molecular Development of the Human Brain

Studying the molecular development of the human brain presents unique challenges for selecting a data analysis approach. The rare and valuable nature of human postmortem brain tissue, especially for developmental studies, means the sample sizes are small (n), but the use of high throughput genomic a...

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Bibliographic Details
Main Authors: Justin L. Balsor, Keon Arbabi, Desmond Singh, Rachel Kwan, Jonathan Zaslavsky, Ewalina Jeyanesan, Kathryn M. Murphy
Format: article
Language:EN
Published: Frontiers Media S.A. 2021
Subjects:
human brain
development
clustering
synaptic proteins
transcriptomic data
high dimension and low sample size
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Online Access:https://doaj.org/article/e0519d8c50c44180963685b47f848b9a
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https://doaj.org/article/e0519d8c50c44180963685b47f848b9a

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