Article

Multi-omics Topic Modeling for Breast Cancer Classification

2021-12-23

Abstract excerpt

The integration of transcriptional data with other layers of information, such as the post-transcriptional regulation mediated by microRNAs, can be crucial to identify the driver genes and the subtypes of complex and heterogeneous diseases such as cancer. This paper presents an approach based on topic modeling to accomplish this integration task. More specifically, we show how an algorithm based on a hierarchical...

Topics

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

Identifiers and source

Literature Corpus work: 3873f6fe-a0ac-5c20-8449-a3baa87e4e0b
DOI: 10.1101/2021.12.22.473851

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-omics Topic Modeling for Breast Cancer ClassificationDOI 10.1101/2021.12.22.473851Read

Identification of interpretable clusters and associated signatures in breast cancer single cell data: a topic modeling approachSemantic proximity Read

A topic modelling analysis of TCGA breast and lung cancer transcriptomic dataSemantic proximity Read

Exploring the latent space of transcriptomic data with topic modelingSemantic proximity Read

An Empirical Analysis of Topic Modeling for Mining Cancer Clinical NotesSemantic proximity Read

Using Topic Modeling via Non-negative Matrix Factorization to Identify Relationships between Genetic Variants and Disease Phenotypes: A Case Study of Lipoprotein(a) ( <i>LPA</i> )Semantic proximity Read

Decoding Breast Cancer Heterogeneity via Multi-Omics Integration and Language Model-Based InterpretationSemantic proximity Read

Using topic modeling via non-negative matrix factorization to identify relationships between genetic variants and disease phenotypes: A case study of Lipoprotein(a) (LPA).Semantic proximity Read

Computational modeling of methylation impact of AML drivers reveals new pathways and refines AML risk-stratificationSemantic proximity Read

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

TopicNet: a framework for measuring transcriptional regulatory network changeSemantic proximity Read

Clusternomics: Integrative Context-Dependent Clustering for Heterogeneous DatasetsSemantic proximity Read

Guided-topic modelling of single-cell transcriptomes enables sub-cell-type and disease-subtype deconvolution of bulk transcriptomesSemantic proximity Read