omicplotR: visualizing omic datasets as compositions

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: omicplotR: visualizing omic datasets as compositions ; volume:20 ; number:1 ; day:15 ; month:11 ; year:2019 ; pages:1-5 ; date:12.2019
BMC bioinformatics ; 20, Heft 1 (15.11.2019), 1-5, 12.2019

Creator: Giguere, Daniel J.
Macklaim, Jean M.
Lieng, Brandon Y.
Gloor, Gregory B.

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12859-019-3174-x

URN: urn:nbn:de:101:1-2020031406512191161566

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:49 AM CEST

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Giguere, Daniel J.
Macklaim, Jean M.
Lieng, Brandon Y.
Gloor, Gregory B.
SpringerLink (Online service)

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omicplotR: visualizing omic datasets as compositions

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Other Objects (12)

CANTARE: finding and visualizing network-based multi-omic predictive models

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PROMO: an interactive tool for analyzing clinically-labeled multi-omic cancer datasets

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Improvement of prediction ability by integrating multi-omic datasets in barley

PROMO: an interactive tool for analyzing clinically-labeled multi-omic cancer datasets

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Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets

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OmicLoupe: facilitating biological discovery by interactive exploration of multiple omic datasets and statistical comparisons

Enhancements for Visualizing Temporal and Geospatial Datasets

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