# Machine learning reveals distinct gene signature profiles in lesional and nonlesional regions of inflammatory skin diseases

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-reveals-distinct-gene-signature-profiles-in-lesional-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Brittany A. Martínez,Sneha Shrotri,Kathryn M. Kingsmore,Prathyusha Bachali,Amrie C. Grammer,Peter E. Lipsky |
| Citations | 56 |
| DOI | 10.1126/sciadv.abn4776 |
| Fields | Immunology and Microbiology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1126/sciadv.abn4776 |
| OpenAlex ID | https://openalex.org/W4225120914 |
| PMID | 35486723 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Kathryn M. Kingsmore](https://scholariq.org/researchers/kathryn-m-kingsmore/)

## Paper primary topic

- [Dermatology and Skin Diseases](https://scholariq.org/topics/dermatology-and-skin-diseases/)

## Paper topics

- [Dermatology and Skin Diseases](https://scholariq.org/topics/dermatology-and-skin-diseases/)
- [Psoriasis: Treatment and Pathogenesis](https://scholariq.org/topics/psoriasis-treatment-and-pathogenesis/)
- [Systemic Lupus Erythematosus Research](https://scholariq.org/topics/systemic-lupus-erythematosus-research/)

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