Evidence map›Paper›PMID 24578589›Full record

ArticleScandinavian journal of statistics, theory and applications2014

Integrative Analysis of Cancer Diagnosis Studies with Composite Penalization.

Jin Liu, Jian Huang, Shuangge Ma

Abstract read
In one paragraph

Article in Scandinavian journal of statistics, theory and applications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  7. Article
  8. GRIA: Graphical Regularization for Integrative Analysis.Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining · 2020
    Article
  9. Article
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  20. Integrative Analysis of "-Omics" Data Using Penalty Functions.Wiley interdisciplinary reviews. Computational statistics
    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.

Jin LiuSchool of Public Health, Yale University.
Jian HuangDepartments of Statistics & Actuarial Science and Biostatistics, University of Iowa.
Shuangge MaSchool of Public Health, Yale University.

Funding

Novel Methods for Integrative Analysis of Cancer Genomic DataR01CA142774 · NCI · YALE UNIVERSITY · PI MA, SHUANGGE · 2010 to 2013
$1.3M
Regularized Classification & Survival Analysis for Expression Profiling of CancerR01CA120988 · NCI · UNIVERSITY OF IOWA · PI HUANG, JIAN · 2008 to 2011
$1.2M
NCI NIH HHS R01 CA120988NCI NIH HHS R01 CA142774
6 · The paper itself

Abstract

In cancer diagnosis studies, high-throughput gene profiling has been extensively conducted, searching for genes whose expressions may serve as markers. Data generated from such studies have the "large

Indexed as

cancer diagnosis studiescomposite penalizationgene expressionintegrative analysis

Identifiers

PMID24578589
PMCPMC3933169

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.