Evidence map›Paper›PMID 14519202›Full record

ArticleGenome biology2003

A high performance test of differential gene expression for oligonucleotide arrays.

William J Lemon, Sandya Liyanarachchi, Ming You

Abstract read
In one paragraph

Article in Genome biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. TheProceedings of the National Academy of Sciences of the United States of America · 2021
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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.

William J LemonDepartment of Surgery, 4940 Parkview Place, 10130 Wohl Clinics, Washington University in St Louis, St Louis, MI 63110, USA.
Sandya Liyanarachchi
Ming You

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
MOLECULAR GENETICS OF MOUSE LUNG TUMORSR01CA058554 · NCI · WASHINGTON UNIVERSITY · PI YOU, MING · 1998 to 2009
$2.3M
NCI NIH HHS P30 CA016058NCI NIH HHS P30CA16058NCI NIH HHS R01 CA058554NCI NIH HHS R01CA58554
6 · The paper itself

Abstract

Logit-t employs a logit-transformation for normalization followed by statistical testing at the probe-level. Using four publicly-available datasets, together providing 2,710 known positive incidences of differential expression and 2,913,813 known negative incidences, performance of statistical tests were: Logit-t provided 75% positive-predictive value, compared with 5% for Affymetrix Microarray Suite 5, 6% for dChip perfect match (PM)-only, and 9% for Robust Multi-array Analysis at the p < 0.01 threshold. Logit-t provided 70% sensitivity, Microarray Suite 5 provided 46%, dChip provided 53% and Robust Multi-array Analysis provided 63%.

Indexed as

AlgorithmsGene Expression ProfilingOligonucleotide Array Sequence AnalysisSoftware

Identifiers

PMID14519202
PMCPMC328456

What OpenQuestion holds

Textmetadata
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.