DSLE2 random-effects meta-analysis model for high-throughput methylation data DOI Creative Commons
Nan Wang, Yang Zhou, Fengping Zhu

и другие.

BMC Genomics, Год журнала: 2025, Номер 26(1)

Опубликована: Март 5, 2025

With the rapid development of high-throughput sequencing technology, data has grown on a massive scale, leading to emergence multiple public databases, such as EBI and GEO. Conducting secondary mining in these databases can yield more valuable insights. Meta-analysis quantitatively combine from same topic. It increases sample size for analysis, enhances statistical power, results consistent reliable conclusions. This study proposes new between-study variance estimator Em . We prove that is non-negative Emτ^m2 with increase τ^m2 , satisfying general conditions estimator. get DSLE2 (two-step estimation starting DSL estimate second step) random-effects meta-analysis model based Em. The accuracy series evaluation metrics are better than those other 6 models. applied lung cancer Parkinson's methylation data. Significantly differentially methylated sites identified by genes significantly closely related two diseases, indicating effectiveness model. paper propose performs well

Язык: Английский

DSLE2 random-effects meta-analysis model for high-throughput methylation data DOI Creative Commons
Nan Wang, Yang Zhou, Fengping Zhu

и другие.

BMC Genomics, Год журнала: 2025, Номер 26(1)

Опубликована: Март 5, 2025

With the rapid development of high-throughput sequencing technology, data has grown on a massive scale, leading to emergence multiple public databases, such as EBI and GEO. Conducting secondary mining in these databases can yield more valuable insights. Meta-analysis quantitatively combine from same topic. It increases sample size for analysis, enhances statistical power, results consistent reliable conclusions. This study proposes new between-study variance estimator Em . We prove that is non-negative Emτ^m2 with increase τ^m2 , satisfying general conditions estimator. get DSLE2 (two-step estimation starting DSL estimate second step) random-effects meta-analysis model based Em. The accuracy series evaluation metrics are better than those other 6 models. applied lung cancer Parkinson's methylation data. Significantly differentially methylated sites identified by genes significantly closely related two diseases, indicating effectiveness model. paper propose performs well

Язык: Английский

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