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Statistical methods and resources for biomarker discovery using metabolomics
Metabolomics is a dynamic tool for elucidating biochemical changes in human health and disease. Metabolic profiles provide a close insight into...
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Statistical and Computational Methods for Proteogenomic Data Analysis
Proteins are the functional molecules for almost all cellular and biological processes. They are also the targets of most drugs. Proteins employ...
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Comparison of ELISA and RIA methods to quantify arginine vasopressin hormone levels in cell culture
The radioimmunoassay (RIA) method is widely used to determine the levels of arginine vasopressin (AVP) in studies, especially in cell culture...
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Systematic comparison of sequencing-based spatial transcriptomic methods
Recent developments of sequencing-based spatial transcriptomics (sST) have catalyzed important advancements by facilitating transcriptome-scale...
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Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis
BackgroundCancer subtype identification is important for the early diagnosis of cancer and the provision of adequate treatment. Prior to identifying...
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A comparison of methods for detecting DNA methylation from long-read sequencing of human genomes
BackgroundLong-read sequencing can enable the detection of base modifications, such as CpG methylation, in single molecules of DNA. The most commonly...
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Evaluation of tree-based statistical learning methods for constructing genetic risk scores
BackgroundGenetic risk scores (GRS) summarize genetic features such as single nucleotide polymorphisms (SNPs) in a single statistic with respect to a...
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A comparison of marker gene selection methods for single-cell RNA sequencing data
BackgroundThe development of single-cell RNA sequencing (scRNA-seq) has enabled scientists to catalog and probe the transcriptional heterogeneity of...
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Comparison of digital and traditional skin wound closure assessment methods in mice
BackgroundChronic skin wounds are a common complication of many diseases such as diabetes. Various traditional methods for assessing skin wound...
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Pharmacogenomic and Statistical Analysis
Genetic variants can alter response to drugs and other therapeutic interventions. The study of this phenomenon, called pharmacogenomics, is similar...
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Comparison of Methods for MicroRNA Isolation from Extracellular Vesicles Obtained from Ascitic Fluids
AbstractSecreted extracellular vesicles (EVs) contain active biomolecules, including miRNAs, composition of which reflects epigenetic changes...
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Statistical and Quantitative Genetics Studies
Quantitative genetics and plant breeding are non-exclusive and these disciplines has been benefited from each other for the past 100 years. As a...
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Comparison of multiple imputation and other methods for the analysis of imputed genotypes
BackgroundAnalysis of imputed genotypes is an important and routine component of genome-wide association studies and the increasing size of...
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A comparison of methods for training population optimization in genomic selection
Key messageMaximizing CDmean and Avg_GRM_self were the best criteria for training set optimization. A training set size of 50–55% (targeted) or...
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Mining for Health: A Comparison of Word Embedding Methods for Analysis of EHRs Data
Electronic health records (EHRs), routinely collected as part of healthcare delivery, offer great promise for advancing precision health. At the same...
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Statistical and machine learning methods for spatially resolved transcriptomics data analysis
The recent advancement in spatial transcriptomics technology has enabled multiplexed profiling of cellular transcriptomes and spatial locations. As...
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Bioinformatic and Statistical Analysis of Microbiome Data
Since advances in next-generation sequencing (NGS) technique enabled to investigate uncultured microbiota and their genomes in unbiased manner, many...
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A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies
BackgroundMultilocus analysis on a set of single nucleotide polymorphisms (SNPs) pre-assigned within a gene constitutes a valuable complement to...
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Computational and Statistical Methods for Single-Cell RNA Sequencing Data
In recent years, advances in droplet-based technology have boosted the popularity of using single-cell RNA sequencing (scRNA-seq) technology to...
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Statistical Reinforcement Learning and Dynamic Treatment Regimes
This chapter introduces to readers the concept and methodology of reinforcement learning and modern-day dynamic treatment regimes in statistics. This...