Evidence map›Paper›PMID 18003902›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2007

A tensor higher-order singular value decomposition for integrative analysis of DNA microarray data from different studies.

Larsson Omberg, Gene H Golub, Orly Alter

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Review
  2. Article
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  7. Article
  8. Stimulus-specificity in the Responses of Immune Sentinel Cells.Current opinion in systems biology · 2019
    Article
  9. Article
  10. Orthogonal joint sparse NMF for microarray data analysis.Journal of mathematical biology · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Tensor factorization toward precision medicine.Briefings in bioinformatics · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Larsson OmbergDepartment of Biomedical Engineering, and Institutes for Cellular and Molecular Biology, University of Texas, Austin, TX 78712, USA.
Gene H Golub
Orly Alter

Funding

Tensor Computations for Modeling Large-Scale Molecular Biological DataR01HG004302 · NHGRI · UNIVERSITY OF UTAH · PI ALTER, ORLY · 2007 to 2011
$1.8M
NHGRI NIH HHS HG004302NHGRI NIH HHS R01 HG004302
6 · The paper itself

Abstract

We describe the use of a higher-order singular value decomposition (HOSVD) in transforming a data tensor of genes x "x-settings," that is, different settings of the experimental variable x x "y-settings," which tabulates DNA microarray data from different studies, to a "core tensor" of "eigenarrays" x "x-eigengenes" x "y-eigengenes." Reformulating this multilinear HOSVD such that it decomposes the data tensor into a linear superposition of all outer products of an eigenarray, an x- and a y-eigengene, that is, rank-1 "subtensors," we define the significance of each subtensor in terms of the fraction of the overall information in the data tensor that it captures. We illustrate this HOSVD with an integration of genome-scale mRNA expression data from three yeast cell cycle time courses, two of which are under exposure to either hydrogen peroxide or menadione. We find that significant subtensors represent independent biological programs or experimental phenomena. The picture that emerges suggests that the conserved genes YKU70, MRE11, AIF1, and ZWF1, and the processes of retrotransposition, apoptosis, and the oxidative pentose phosphate pathway that these genes are involved in, may play significant, yet previously unrecognized, roles in the differential effects of hydrogen peroxide and menadione on cell cycle progression. A genome-scale correlation between DNA replication initiation and RNA transcription, which is equivalent to a recently discovered correlation and might be due to a previously unknown mechanism of regulation, is independently uncovered.

Indexed as

Cell CycleDNADNA ReplicationGene Expression ProfilingGene Expression Regulation, FungalModels, GeneticOligonucleotide Array Sequence AnalysisOxidative StressRNA, MessengerSaccharomyces cerevisiaeTime FactorsDNARNA, Messenger

Identifiers

PMID18003902
PMCPMC2147680

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.