Evidence map›Paper›PMID 26614125›Full record

ArticleBioinformatics (Oxford, England)2016

SVD-phy: improved prediction of protein functional associations through singular value decomposition of phylogenetic profiles.

Andrea Franceschini, Jianyi Lin, Christian von Mering, Lars Juhl Jensen

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
–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

73 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. An Integrative Variant Scoring Function for Finding Novel Genes Associated with Ovarian and Thyroid Cancer.International journal of environmental research and public health · 2026
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  7. Multi-omics dissection of RAD21-PON1 axis reveals metabolic-immune crosstalk and prognostic significance in hepatocellular carcinoma.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  10. Review
  11. Article
  12. Article
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  16. PFAS and their association with the increased risk of cardiovascular disease in postmenopausal women.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Phylogenetic profiling in eukaryotes comes of age.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article

13 more citing papers are in PubMed but not listed here.

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

4 authors.

Andrea FranceschiniInstitute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland, Swiss Institute of Bioinformatics, Quartier Sorge, Bâtiment Génopode, Lausanne, 1015, Switzerland.
Jianyi LinDepartment of Computer Science, University of Milan, via Comelico 39, Milan, 20135, Italy and.
Christian von MeringInstitute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich, 8057, Switzerland, Swiss Institute of Bioinformatics, Quartier Sorge, Bâtiment Génopode, Lausanne, 1015, Switzerland.
Lars Juhl JensenNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen N, 2200, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledA successful approach for predicting functional associations between non-homologous genes is to compare their phylogenetic distributions. We have devised a phylogenetic profiling algorithm, SVD-Phy, which uses truncated singular value decomposition to address the problem of uninformative profiles giving rise to false positive predictions. Benchmarking the algorithm against the KEGG pathway database, we found that it has substantially improved performance over existing phylogenetic profiling methods. AVAILABILITY AND IMPLEMENTATION: The software is available under the open-source BSD license at https://bitbucket.org/andrea/svd-phy CONTACT: lars.juhl.jensen@cpr.ku.dk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Evolution, MolecularPhylogenyProteinsSoftwareAlgorithmsProteins

Identifiers

PMID26614125
PMCPMC4896368

What OpenQuestion holds

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Registered trials

None linked

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.