Evidence map›Paper›PMID 28679386›Full record

ArticleGenome biology2017

Revisit linear regression-based deconvolution methods for tumor gene expression data.

Bo Li, Jun S Liu, X Shirley Liu

Abstract readComment
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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  10. Article
  11. Immunotherapy and Cancer: The Multi-Omics Perspective.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Bo LiDepartment of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Harvard TH Chan School of Public Health, 450 Brookline Ave, Boston, MA, 02215, USA.
Jun S LiuDepartment of Statistics, Harvard University, 1 Oxford St, Cambridge, MA, 02138, USA. jliu@stat.harvard.edu.
X Shirley LiuDepartment of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Harvard TH Chan School of Public Health, 450 Brookline Ave, Boston, MA, 02215, USA. xsliu@jimmy.harvard.edu.

Funding

Developing Informatics Technologies to Model Cancer Gene RegulationU01CA180980 · NCI · DANA-FARBER CANCER INST · PI LIU, XIAOLE SHIRLEY · 2013 to 2015
$1.1M
NCI NIH HHS U01 CA180980
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Genes, NeoplasmLinear ModelsAlgorithmsGene ExpressionHumansNeoplasms

Identifiers

PMID28679386
PMCPMC5499010

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.