# Treelet transform analysis to identify clusters of systemic inflammatory variance in a population with moderate-to-severe traumatic brain injury

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/treelet-transform-analysis-to-identify-clusters-of-systemic-inflammatory/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sushupta M. Vijapur,Leah Vaughan,Nabil Awan,Dominic DiSanto,Gina McKernan,Amy K. Wagner |
| Citations | 19 |
| DOI | 10.1016/j.bbi.2021.01.026 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/9004489 |
| OpenAlex ID | https://openalex.org/W3127616767 |
| PMID | 33524553 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Gina McKernan](https://scholariq.org/researchers/gina-mckernan/)

## Paper primary topic

- [S100 Proteins and Annexins](https://scholariq.org/topics/s100-proteins-and-annexins/)

## Paper topics

- [S100 Proteins and Annexins](https://scholariq.org/topics/s100-proteins-and-annexins/)
- [Traumatic Brain Injury and Neurovascular Disturbances](https://scholariq.org/topics/traumatic-brain-injury-and-neurovascular-disturbances/)
- [Traumatic Brain Injury Research](https://scholariq.org/topics/traumatic-brain-injury-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.