DiSTect: a Bayesian model for disease-associated gene discovery and prediction in spatial transcriptomics

Authors

Qihuang Zhang (ORCID: https://orcid.org/0000-0003-1455-2159)
Alan Y. Deng (ORCID: https://orcid.org/0000-0002-7216-9599)
Qicheng Zhao

Institutions

McGill University Health Centre (CA)
McGill University (CA)

Publication Details

Journal: Bioinformatics
Published: 2025-09-22
DOI: https://doi.org/10.1093/bioinformatics/btaf530
Primary Topic: Gene expression and cancer classification
Type: article
Field-Weighted Citation Impact: 0.00

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article

DiSTect: a Bayesian model for disease-associated gene discovery and prediction in spatial transcriptomics

Qihuang Zhang, Alan Y. Deng, Qicheng Zhao

Sep 22, 2025

Bioinformatics

Gene expression and cancer classification

article

DiSTect: a Bayesian model for disease-associated gene discovery and prediction in spatial transcriptomics

Qihuang Zhang, Alan Y. Deng, Qicheng Zhao

September 22, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(10)

McGill University Health Centre (CA), McGill University (CA)

Openalex Percentile: Top 77%

Gene expression and cancer classification

DOI Open Access PDF OpenAlex

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DiSTect: a Bayesian model for disease-associated gene discovery and prediction in spatial transcriptomics — Qihuang Zhang, Alan Y. Deng, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS