Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics

Moscovich, Amit

doi:10.1016/j.csda.2023.107769

Cited by 3 publications

(1 citation statement)

References 54 publications

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“…For the case when the traits are independent, there are existing algorithms [24,30,31] to calculate the global level α of the test as a function of the local level η, where we call this function α(η). Most algorithms are for the case q = 1, but could be adapted to other q.…”

Section: H (M)mentioning

confidence: 99%

ADELLE: A global testing method for Trans-eQTL mapping

Akinbiyi,

McPeek,

Abney

2024

Preprint

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Understanding the genetic regulatory mechanisms of gene expression is a challenging and ongoing problem. Genetic variants that are associated with expression levels are readily identified when they are proximal to the gene (i.e., cis-eQTLs), but SNPs distant from the gene whose expression levels they are associated with (i.e., trans-eQTLs) have been much more difficult to discover, even though they account for a majority of the heritability in gene expression levels. A major impediment to the identification of more trans-eQTLs is the lack of statistical methods that are powerful enough to overcome the obstacles of small effect sizes and large multiple testing burden of trans-eQTL mapping. Here, we propose ADELLE, a powerful statistical testing framework that requires only summary statistics and is designed to be most sensitive to SNPs that are associated with multiple gene expression levels, a characteristic of many trans-eQTLs. In simulations, we show that ADELLE is more powerful than other methods at detecting SNPs that are associated with 0.2-2% of the traits. We apply ADELLE to a mouse advanced intercross line data set and show its ability to find trans-eQTLs that were not significant under a standard analysis. This demonstrates that ADELLE is a powerful tool at uncovering trans regulators of genetic expression.

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Section: H (M)mentioning

confidence: 99%

ADELLE: A global testing method for Trans-eQTL mapping

Akinbiyi,

McPeek,

Abney

2024

Preprint

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Solute carrier family 2 members (SLC2A) as potential targets for the treatment of head and neck squamous cell carcinoma patients

Tiwari,

Jain,

Nizamuddin

et al. 2025

Human Gene

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Knowledge-Based Effective Dispatch for Job Shop Scheduling

Ding,

Xia,

et al. 2024

J CIRCUIT SYST COMP

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Although Deep Reinforcement Learning (DRL) is promising in solving Job Shop Scheduling Problems (JSPs), existing DRL-based methods still have large optimality gaps when learning job-to-machine solutions. This is mainly because: (i) existing state representations autonomously learned from graph-structured data cannot fully capture node information to support agents in making optimal decisions; and (ii) existing reward functions cannot accurately reflect some actions that will seriously worsen the current state. Aiming to address these issues, we propose a knowledge-based DRL method that selects nine well-known priority dispatching rules (PDRs) as state features, which can achieve effective model training. To avoid feature over-redundancy, we discard significantly correlated features based on the Pearson correlation relationship analysis, which can help to identify the key factors that affect the agents’ decision-making. Furthermore, since it is difficult to design a reward function that can accurately distinguish actions, we mask poor-performing actions based on problem-specific knowledge to prevent them from being selected at the current decision point. Comprehensive experimental results demonstrate the superiority of our approach over four PDRs and four state-of-the-art methods on various benchmarks.

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Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics

Cited by 3 publications

References 54 publications

ADELLE: A global testing method for Trans-eQTL mapping

ADELLE: A global testing method for Trans-eQTL mapping

Solute carrier family 2 members (SLC2A) as potential targets for the treatment of head and neck squamous cell carcinoma patients

Knowledge-Based Effective Dispatch for Job Shop Scheduling

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