Article

Latent disease similarities and therapeutic repurposing possibilities uncovered by multi-modal generative topic modeling of human diseases

2021-05-18

Abstract excerpt

<h4>Summary</h4> Human diseases are characterized by multiple features such as their pathophysiological, molecular, and genetic changes. The rapid expansion of such multi-modal disease-omics space provides an opportunity to re-classify diverse human diseases and uncover their latent molecular similarities, which could be exploited to repurpose a therapeutic-target for one disease to another. Herein, we probe this...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 725d6c4c-c7df-5980-ac16-7940548a1c4d
DOI: 10.1101/2021.05.18.444550

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Latent disease similarities and therapeutic repurposing possibilities uncovered by multi-modal generative topic modeling of human diseasesDOI 10.1101/2021.05.18.444550Read

Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signaturesSemantic proximity Read

A Multi-Dimensional Approach to Map Disease Relationships Challenges Classical Disease ViewsSemantic proximity Read

Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality predictionSemantic proximity Read

PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK BiobankSemantic proximity Read

PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank.Semantic proximity Read

A Multi-Dimensional Approach to Map Disease Relationships Challenges Classical Disease Views.Semantic proximity Read

Combining multimorbidity clustering with limited demographic information enables high-precision outcome predictionsSemantic proximity Read

MOT: a Multi-Omics Transformer for multiclass classification tumour types predictionsSemantic proximity Read

Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.Semantic proximity Read

Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic riskSemantic proximity Read

Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality predictionSemantic proximity Read

Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic riskSemantic proximity Read