Research Articles
CRISPR-Cas Based NIPT: A New Frontier in Rapid, Low-Cost Prenatal Screening for Trisomy
This article provides a comprehensive technical overview of CRISPR-Cas systems applied to non-invasive prenatal testing (NIPT) for common trisomies (21, 18, 13).
Mastering VUS Interpretation: Essential Guidelines for Clinical Genetic Reporting in Research and Drug Development
This article provides a comprehensive framework for reporting Variants of Uncertain Significance (VUS) in clinical genetics, tailored for researchers, scientists, and drug development professionals.
WES Variant Calling Benchmark: A Comprehensive Guide to Evaluating Software with GIAB Standards for Clinical & Research Applications
This article provides a comprehensive guide for researchers and bioinformaticians to benchmark Whole Exome Sequencing (WES) variant calling pipelines using the Genome in a Bottle (GIAB) Consortium's authoritative reference standards.
Global-Local Priors in Bayesian Regression: From Theory to Clinical Application in Drug Development
This article provides a comprehensive guide to Bayesian regression models with global-local (GL) shrinkage priors, tailored for researchers and professionals in biomedical and pharmaceutical sciences.
Bayesian QTL Mapping: Powerful Models for Traits Governed by Few Major Genetic Loci
This article provides a comprehensive guide for researchers on employing Bayesian models for quantitative trait loci (QTL) mapping when traits are controlled by a small number of large-effect genetic variants.
Beyond the Curse of Dimensionality: How Bayesian Learning Unlocks Genomics for Drug Discovery
This article explores the critical role of Bayesian learning in managing overparameterized genomic models, where the number of predictors (e.g., genes, SNPs) far exceeds sample size.
Genomic Prediction Showdown: Bayesian Alphabet vs. BLUP - A Guide for Biomedical Researchers
This comprehensive guide explores the critical choice between Bayesian Alphabet methods and Best Linear Unbiased Prediction (BLUP) for genomic prediction in biomedical research and drug development.
Bayesian Alphabet Performance Across Genetic Architectures: A Comprehensive Review for Genomics Researchers
This article provides a systematic evaluation of Bayesian alphabet methods (BayesA, BayesB, BayesC, etc.) and their performance under diverse genetic architectures relevant to complex traits.
Bayesian Alphabet in Genomic Prediction: From BLUP to Machine Learning Integration for Precision Medicine
This article provides a comprehensive guide to Bayesian alphabet models for genomic prediction, tailored for researchers and drug development professionals.
Bayesian Lasso for Genomic Prediction: A Complete Guide for Precision Medicine Research
This comprehensive guide explores the implementation of Bayesian Lasso (LASSO) for genomic prediction in biomedical research and drug development.