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Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition

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Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition

Summary

Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition is a scholarly chapter[1].

Key Facts

  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition authored Orly Alter[2].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition authored Patrick O. Brown[3].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition authored David Botstein[4].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's instance of is recorded as scholarly chapter[5].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's publisher is recorded as SPIE[6].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's page is recorded as 171–186[7].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's DOI is recorded as 10.1117/12.427986[8].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's part of is recorded as scientific book[9].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's language of work or name is recorded as English[10].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's volume is recorded as 4266[11].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's publication date is recorded as +2001-01-21T00:00:00Z[12].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's ADS bibcode is recorded as 2001SPIE.4266..171A[13].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's main subject is recorded as singular value decomposition[14].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's main subject is recorded as eigengene[15].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's external data available at URL is recorded as https://alterlab.org/SVD/[16].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's published in is recorded as Proceedings of SPIE[17].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's title is recorded as Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition[18].
  • Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's cites work is recorded as Singular value decomposition for genome-wide expression data processing and modeling[19].

Body

Geography

Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's part of is recorded as scientific book[9].

Designation and Status

Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition's instance of is recorded as scholarly chapter[5].

References

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

Direct Wikidata claims

  1. [5] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [3] ↑ . wikidata.org.
  4. [4] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . spiedigitallibrary.org. spiedigitallibrary.org. Provenance: wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . alterlab.org. alterlab.org. Provenance: wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition. Retrieved May 3, 2026, from https://4ort.xyz/entity/processing-and-modeling-genome-wide-expression-data-using-singular-value-decomposition
MLA “Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/processing-and-modeling-genome-wide-expression-data-using-singular-value-decomposition.
BibTeX @misc{4ortxyz_processing-and-modeling-genome-wide-expression-data-using-singular-value-decomposition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition}}, year = {2026}, url = {https://4ort.xyz/entity/processing-and-modeling-genome-wide-expression-data-using-singular-value-decomposition}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Processing and Modeling Genome-Wide Expression Data Using Singular Value Decomposition — https://4ort.xyz/entity/processing-and-modeling-genome-wide-expression-data-using-singular-value-decomposition (retrieved 2026-05-03)

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