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Diffusion enables integration of heterogeneous data and user-driven learning in a desktop knowledge-...

Diffusion enables integration of heterogeneous data and user-driven learning in a desktop knowledge-...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bb4fd93ff8bb47818fb09c818b31bc10

Diffusion enables integration of heterogeneous data and user-driven learning in a desktop knowledge-base

About this item

Full title

Diffusion enables integration of heterogeneous data and user-driven learning in a desktop knowledge-base

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2021-08, Vol.17 (8), p.e1009283-e1009283

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Integrating reference datasets (e.g. from high-throughput experiments) with unstructured and manually-assembled information (e.g. notes or comments from individual researchers) has the potential to tailor bioinformatic analyses to specific needs and to lead to new insights. However, developing bespoke analysis pipelines from scratch is time-consumi...

Alternative Titles

Full title

Diffusion enables integration of heterogeneous data and user-driven learning in a desktop knowledge-base

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_bb4fd93ff8bb47818fb09c818b31bc10

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bb4fd93ff8bb47818fb09c818b31bc10

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1009283

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