Evidence map›Paper›PMID 22383865›Full record

ReviewPLoS computational biology2012

Ten years of pathway analysis: current approaches and outstanding challenges.

Purvesh Khatri, Marina Sirota, Atul J Butte

Abstract readReview
In one paragraph

Review in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 856 papers.

0numbers the graph read from it
0cells of the map it votes in
856citing 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

856 citing papers in PubMed.

  1. Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors.The international journal of behavioral nutrition and physical activity · 2024
    Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Analytical choices drive toxicogenomic potency estimates: a systematic evaluation of transcriptomic points of departure.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

796 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

3 authors.

Purvesh KhatriDivision of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America. pkhatri@stanford.edu
Marina Sirota
Atul J Butte

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Comparative functional genomics for lung cancer gene discoveryR01CA138256 · NCI · STANFORD UNIVERSITY · PI BUTTE, ATUL J, SAGE, JULIEN · 2008 to 2012
$2.8M
Integrating Microarray and Proteomic Data by Ontology-based AnnotationR01LM009719 · NLM · STANFORD UNIVERSITY · PI BUTTE, ATUL J · 2008 to 2011
$1.1M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA138256NLM NIH HHS R01 LM009719NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

Pathway analysis has become the first choice for gaining insight into the underlying biology of differentially expressed genes and proteins, as it reduces complexity and has increased explanatory power. We discuss the evolution of knowledge base-driven pathway analysis over its first decade, distinctly divided into three generations. We also discuss the limitations that are specific to each generation, and how they are addressed by successive generations of methods. We identify a number of annotation challenges that must be addressed to enable development of the next generation of pathway analysis methods. Furthermore, we identify a number of methodological challenges that the next generation of methods must tackle to take advantage of the technological advances in genomics and proteomics in order to improve specificity, sensitivity, and relevance of pathway analysis.

Indexed as

AlgorithmsAnimalsComputational BiologyGene Expression ProfilingGene Expression RegulationGenomicsHumansModels, BiologicalModels, GeneticModels, StatisticalMultivariate AnalysisReproducibility of ResultsSensitivity and SpecificitySoftware

Identifiers

PMID22383865
PMCPMC3285573

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.