Clustering multilayer omics data using MuNCut

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2164

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Clustering multilayer omics data using MuNCut ; volume:19 ; number:1 ; day:14 ; month:3 ; year:2018 ; pages:1-13 ; date:12.2018
BMC genomics ; 19, Heft 1 (14.3.2018), 1-13, 12.2018

Classification: Biowissenschaften, Biologie

Creator: Teran Hidalgo, Sebastian J.

Contributor: Ma, Shuangge
SpringerLink (Online service)

DOI: 10.1186/s12864-018-4580-6

URN: urn:nbn:de:101:1-2018070115563533693455

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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Teran Hidalgo, Sebastian J.
Ma, Shuangge
SpringerLink (Online service)

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AutoClassWeb: a simple web interface for Bayesian clustering of omics data

Consensus clustering applied to multi-omics disease subtyping

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PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data

OmicsOne: associate omics data with phenotypes in one-click

Interpretation of omics data analyses

Multilayer omics reveals the molecular mechanism of early infection of Clonorchis sinensis juvenile

BRANEnet: embedding multilayer networks for omics data integration

Spatially Constrained Geospatial Data Clustering for Multilayer Sensor-Based Measurements

Multiview clustering of multi-omics data integration by using a penalty model

Clustering of single-cell multi-omics data with a multimodal deep learning method

AutoClassWeb: a simple web interface for Bayesian clustering of omics data

Consensus clustering applied to multi-omics disease subtyping

ShinyOmics: collaborative exploration of omics-data

PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data

OmicsOne: associate omics data with phenotypes in one-click

Interpretation of omics data analyses

Multilayer omics reveals the molecular mechanism of early infection of Clonorchis sinensis juvenile

BRANEnet: embedding multilayer networks for omics data integration

Spatially Constrained Geospatial Data Clustering for Multilayer Sensor-Based Measurements

Multiview clustering of multi-omics data integration by using a penalty model

Clustering of single-cell multi-omics data with a multimodal deep learning method

AutoClassWeb: a simple web interface for Bayesian clustering of omics data

Consensus clustering applied to multi-omics disease subtyping

ShinyOmics: collaborative exploration of omics-data

PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data

OmicsOne: associate omics data with phenotypes in one-click

Interpretation of omics data analyses

Multilayer omics reveals the molecular mechanism of early infection of Clonorchis sinensis juvenile

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Clustering multilayer omics data using MuNCut

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Other Objects (12)

BRANEnet: embedding multilayer networks for omics data integration

Spatially Constrained Geospatial Data Clustering for Multilayer Sensor-Based Measurements

Multiview clustering of multi-omics data integration by using a penalty model

Clustering of single-cell multi-omics data with a multimodal deep learning method

AutoClassWeb: a simple web interface for Bayesian clustering of omics data

Consensus clustering applied to multi-omics disease subtyping

ShinyOmics: collaborative exploration of omics-data

PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data

OmicsOne: associate omics data with phenotypes in one-click

Interpretation of omics data analyses

Multilayer omics reveals the molecular mechanism of early infection of Clonorchis sinensis juvenile

BRANEnet: embedding multilayer networks for omics data integration

Spatially Constrained Geospatial Data Clustering for Multilayer Sensor-Based Measurements

Multiview clustering of multi-omics data integration by using a penalty model

Clustering of single-cell multi-omics data with a multimodal deep learning method

AutoClassWeb: a simple web interface for Bayesian clustering of omics data

Consensus clustering applied to multi-omics disease subtyping

ShinyOmics: collaborative exploration of omics-data

PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data

OmicsOne: associate omics data with phenotypes in one-click

Interpretation of omics data analyses

Multilayer omics reveals the molecular mechanism of early infection of Clonorchis sinensis juvenile

BRANEnet: embedding multilayer networks for omics data integration

Spatially Constrained Geospatial Data Clustering for Multilayer Sensor-Based Measurements

Multiview clustering of multi-omics data integration by using a penalty model

Clustering of single-cell multi-omics data with a multimodal deep learning method

AutoClassWeb: a simple web interface for Bayesian clustering of omics data

Consensus clustering applied to multi-omics disease subtyping

ShinyOmics: collaborative exploration of omics-data

PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data

OmicsOne: associate omics data with phenotypes in one-click

Interpretation of omics data analyses

Multilayer omics reveals the molecular mechanism of early infection of Clonorchis sinensis juvenile

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