For decades scientists have combed the gut looking for bacteria in the microbiome that push the immune system toward multiple sclerosis (MS). New evidence from a rare twin study now points a clear ...

Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability of decision ...

This reporistory contains scripts for multiple imputation including explanations. Most important is the R-markdown on Multivariable imputation of missing data. The PowerPoint can be downloaded by ...

This fundamental work significantly enhances our understanding of how structural variants influence human phenotypes. The conclusion is convincingly supported by rigorous analyses of long-read ...

Two examples for missing-values imputation use k-neighbors imputation without scaling data first. As a result, the approaches under-perform. The examples are: https ...

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1 Shangwan Coal Mine, Ejin Horo Banner, Ordos, China 2 CCTEG Xi’an Research Institute Co. Ltd., Xi’an, China This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for ...

Background: Genotype imputation is a critical preprocessing step in genome-wide association studies (GWAS), enhancing statistical power for detecting associated single nucleotide polymorphisms (SNPs) ...

School of Biological Sciences, University of California San Diego, La Jolla, California 92037, United States Department of Biology, San Diego State University, San Diego, California 92182, United ...

Abstract: Advances in genome sequencing technologies have increased the ability to detect structural variations but this process remains imperfect due to inference limitations for paired-end and long ...