ArticlePloS one2015
Accounting for dependence induced by weighted KNN imputation in paired samples, motivated by a colorectal cancer study.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
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- The potential involvement of JAK-STAT signaling pathway in the COVID-19 infection assisted by ACE2.Gene · 2021Article
- Integrative analyses of gene expression profile reveal potential crucial roles of mitotic cell cycle and microtubule cytoskeleton in pulmonary artery hypertension.BMC medical genomics · 2020Article
- Development and Validation of the Predictive Model for Esophageal Squamous Cell Carcinoma Differentiation Degree.Frontiers in genetics · 2020Article
- The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer.Genomics, proteomics & bioinformatics · 2017Article
- Transcription factor-microRNA associations and their impact on colorectal cancer survival.Molecular carcinogenesis · 2017Article
- Alterations in microRNA expression associated with alcohol consumption in rectal cancer subjects.Cancer causes & control : CCC · 2017Article
- A comparison of multiple testing adjustment methods with block-correlation positively-dependent tests.PloS one · 2017Article
- Association of cigarette smoking and microRNA expression in rectal cancer: Insight into tumor phenotype.Cancer epidemiology · 2016Article
- Site-specific associations between miRNA expression and survival in colorectal cancer cases.Oncotarget · 2016Article
- Impact of polymorphisms in microRNA biogenesis genes on colon cancer risk and microRNA expression levels: a population-based, case-control study.BMC medical genomics · 2016Article
- MicroRNA profiles in colorectal carcinomas, adenomas and normal colonic mucosa: variations in miRNA expression and disease progression.Carcinogenesis · 2016Article
- Article
- MicroRNA Seed Region Length Impact on Target Messenger RNA Expression and Survival in Colorectal Cancer.PloS one · 2016Article
- Incorporation of subject-level covariates in quantile normalization of miRNA data.BMC genomics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Missing data can arise in bioinformatics applications for a variety of reasons, and imputation methods are frequently applied to such data. We are motivated by a colorectal cancer study where miRNA expression was measured in paired tumor-normal samples of hundreds of patients, but data for many normal samples were missing due to lack of tissue availability. We compare the precision and power performance of several imputation methods, and draw attention to the statistical dependence induced by K-Nearest Neighbors (KNN) imputation. This imputation-induced dependence has not previously been addressed in the literature. We demonstrate how to account for this dependence, and show through simulation how the choice to ignore or account for this dependence affects both power and type I error rate control.
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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.