Article

iTissue

2025-06-08

Abstract excerpt

<h4>Summary</h4> Tumors are highly heterogeneous tissues, and this heterogeneity impacts metastasis and its progression. Spatial data are essential for studying these hetrogeneity. However, its limited resolution makes crucial the integration of spatial data with molecular networks to identify relevant genes for the progression of metastasis. We develop a new data integration method, named iTissue, based on Graph...

Topics

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

Identifiers and source

Literature Corpus work: 6be16a13-e61d-59b7-9e3f-c532c34f812e
DOI: 10.1101/2025.06.04.657816

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

iTissueDOI 10.1101/2025.06.04.657816Read

Learning common and specific patterns from data of multiple interrelated biological scenarios with matrix factorizationSemantic proximity Read

Inferring ligand-receptor cellular networks from bulk and spatial transcriptomic datasets with BulkSignalRSemantic proximity Read

geneSCOPE: gene Spatial Co-Occurrence of Pairwise ExpressionSemantic proximity Read

Reconstructing co-dependent cellular crosstalk in lung adenocarcinoma using REMISemantic proximity Read

SiGra: Single-cell spatial elucidation through image-augmented graph transformerSemantic proximity Read

Elucidating immune-related gene transcriptional programs via factorization of large-scale RNA-profilesSemantic proximity Read

N-Orbit: towards a universal model and metric for comparing tissue microenvironmentsSemantic proximity Read

Multi-Omics Data Fusion for Cancer Molecular Subtyping Using Sparse Canonical Correlation AnalysisSemantic proximity Read

Cophenetic Spatial Topology Embedding reveals multiscale tissue architecture in spatial omicsSemantic proximity Read

Neighborhood nonnegative matrix factorization identifies patterns and spatially-variable genes in large-scale spatial transcriptomics dataSemantic proximity Read

SOTIP: a Unified Framework for Microenvironment Modelling with Spatial Omics DataSemantic proximity Read

The network structure of hematopoietic cancersSemantic proximity Read