Evidence map›Paper›PMID 20676068›Full record

ArticleThe pharmacogenomics journal2010

k-Nearest neighbor models for microarray gene expression analysis and clinical outcome prediction.

R M Parry, W Jones, T H Stokes, J H Phan, R A Moffitt, H Fang, L Shi, A Oberthuer, M Fischer, W Tong and 1 more

Abstract readComparative Study
In one paragraph

Article in The pharmacogenomics journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  12. AI applications in functional genomics.Computational and structural biotechnology journal · 2021
    Review
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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

11 authors.

R M ParryBiomedical Engineering Department, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
W Jones
T H Stokes
J H Phan
R A Moffitt
H Fang
L Shi
A Oberthuer
M Fischer
W Tong
M D Wang

Funding

Tissue and Animal UseU54CA119338 · NCI · EMORY UNIVERSITY · PI SIMONS, JONATHAN W. · 2005 to 2009
$18.4M
Nanotechnology Linking Biomarkers with Cancer BehaviorR01CA108468 · NCI · EMORY UNIVERSITY · PI NIE, SHUMING · 2004 to 2008
$6.9M
NCI NIH HHS R01 CA108468NCI NIH HHS R01CA108468NCI NIH HHS U54 CA119338NCI NIH HHS U54CA119338
6 · The paper itself

Abstract

In the clinical application of genomic data analysis and modeling, a number of factors contribute to the performance of disease classification and clinical outcome prediction. This study focuses on the k-nearest neighbor (KNN) modeling strategy and its clinical use. Although KNN is simple and clinically appealing, large performance variations were found among experienced data analysis teams in the MicroArray Quality Control Phase II (MAQC-II) project. For clinical end points and controls from breast cancer, neuroblastoma and multiple myeloma, we systematically generated 463,320 KNN models by varying feature ranking method, number of features, distance metric, number of neighbors, vote weighting and decision threshold. We identified factors that contribute to the MAQC-II project performance variation, and validated a KNN data analysis protocol using a newly generated clinical data set with 478 neuroblastoma patients. We interpreted the biological and practical significance of the derived KNN models, and compared their performance with existing clinical factors.

Indexed as

Models, StatisticalAnimalsBiomarkers, TumorBrain NeoplasmsBreast NeoplasmsDisease-Free SurvivalEndpoint DeterminationFemaleHumansLogistic ModelsMultiple MyelomaNeoplasm StagingNeuroblastomaOligonucleotide Array Sequence AnalysisPredictive Value of TestsQuality ControlBiomarkers, Tumor

Identifiers

PMID20676068
PMCPMC2920072

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.