Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.

scientific article published on 11 March 2014
Place scholarly_conference_abstract Q45847490
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Summary

Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations. is a scholarly conference abstract[1].

Key Facts

  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations. authored clustering techniques, statistical tests and data visualisations. — author (P50): Ola Engkvist[2].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations. authored clustering techniques, statistical tests and data visualisations. — author (P50): Christian Tyrchan[3].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s instance of is recorded as clustering techniques, statistical tests and data visualisations. — instance of (P31): scholarly conference abstract[4].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s copyright license is recorded as clustering techniques, statistical tests and data visualisations. — copyright license (P275): Creative Commons Attribution 4.0 International[5].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s page is recorded as P27-P27[6].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s DOI is recorded as 10.1186/1758-2946-6-S1-P27[7].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s issue is recorded as Suppl 1[8].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s volume is recorded as 6[9].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s publication date is recorded as +2014-03-11T00:00:00Z[10].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s main subject is recorded as clustering techniques, statistical tests and data visualisations. — main subject (P921): data visualization[11].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s main subject is recorded as clustering techniques, statistical tests and data visualisations. — main subject (P921): statistics[12].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s PMC publication ID is recorded as 3980185[13].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s published in is recorded as clustering techniques, statistical tests and data visualisations. — published in (P1433): Journal of Cheminformatics[14].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s title is recorded as Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.[15].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s author name string is recorded as Christoph Müller[16].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s author name string is recorded as Daniel Ormsby[17].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s author name string is recorded as Isabella Feierberg[18].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s author name string is recorded as Michael J Hartshorn[19].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s cites work is recorded as clustering techniques, statistical tests and data visualisations. — cites work (P2860): Compound set enrichment: a novel approach to analysis of primary HTS data[20].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s cites work is recorded as clustering techniques, statistical tests and data visualisations. — cites work (P2860): Hit discovery and hit-to-lead approaches[21].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s cites work is recorded as clustering techniques, statistical tests and data visualisations. — cites work (P2860): Design and analysis of experiments with high throughput biological assay data.[22].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s Dimensions publication ID is recorded as 1043952539[23].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s copyright status is recorded as clustering techniques, statistical tests and data visualisations. — copyright status (P6216): copyrighted[24].
  • Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s DBLP publication ID is recorded as journals/jcheminf/MullerOFETH14[25].

Body

Designation and Status

Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations.'s instance of is recorded as clustering techniques, statistical tests and data visualisations. — instance of (P31): scholarly conference abstract[4].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [4] ↑ . wikidata.org.
  2. [2] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  3. [3] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  4. [5] ↑ . April 2022 Public Data File from Crossref. wikidata.org.
  5. [6] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  6. [7] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  7. [8] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  8. [9] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  9. [10] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  13. [14] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  14. [15] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  15. [16] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  16. [17] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  17. [18] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  18. [19] ↑ . Europe PubMed Central. Retrieved . europepmc.org. Provenance: wikidata.org.
  19. [20] ↑ . PubMed Central. Retrieved . eutils.ncbi.nlm.nih.gov. Provenance: wikidata.org.
  20. [21] ↑ . PubMed Central. Retrieved . eutils.ncbi.nlm.nih.gov. Provenance: wikidata.org.
  21. [22] ↑ . PubMed Central. Retrieved . eutils.ncbi.nlm.nih.gov. Provenance: wikidata.org.
  22. [23] ↑ . SciGraph. Retrieved . scigraph.springernature.com. Provenance: wikidata.org.
  23. [24] ↑ . wikidata.org.
  24. [25] ↑ . DBLP Dataset 2021-01-02. Retrieved . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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