Research Articles
Mastering Multi-omics Integration: A Complete MOFA+ Tutorial for Biomedical Research and Drug Discovery
This comprehensive tutorial provides researchers and drug development professionals with a complete guide to Multi-Omics Factor Analysis (MOFA+), a powerful statistical tool for integrating diverse molecular data types.
The Miettinen-Nurminen Confidence Interval: A Robust Statistical Method for Sensitivity Comparison in Diagnostic and Clinical Research
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on the application of the Miettinen-Nurminen confidence interval for comparing diagnostic test sensitivities.
Matrix Factorization for Multi-Omics Clustering: A Comprehensive Guide for Biomedical Researchers
This article provides a detailed exploration of matrix factorization techniques for integrative multi-omics clustering.
MOFA+ vs Deep Learning for Multi-Omics Integration: A 2024 Performance Comparison for Biomedical Research
This article provides a comprehensive, up-to-date comparison of two leading paradigms for multi-omics data integration: the statistical factor analysis framework MOFA+ and emerging deep learning (DL) approaches.
MIC-Drop and Perturb-seq Explained: Revolutionizing In Vivo Functional Genomics Screening
This article provides a comprehensive guide to MIC-Drop and Perturb-seq, two transformative pooled screening technologies for in vivo functional genomics.
Complete Guide to MAGeCK CRISPR Screen Analysis: From Raw Reads to Biological Insights
This comprehensive guide details the complete MAGeCK workflow for analyzing CRISPR-Cas9 knockout and activation screens.
MAGeCK vs RRA: Choosing the Right CRISPR Screen Analysis Algorithm for Your Research
This article provides a comprehensive, practical guide for researchers and drug development professionals comparing two leading algorithms for CRISPR-Cas9 screen data analysis: Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) and...
MAGeCK vs BAGEL vs DrugZ: A Comparative Analysis of CRISPR Screen Analysis Algorithms for Gene Essentiality and Drug Target Discovery
This article provides a comprehensive, comparative guide to three leading algorithms—MAGeCK, BAGEL, and DrugZ—used for analyzing CRISPR-Cas9 loss-of-function screens.
Mastering CRISPR Screen Analysis: A Complete MAGeCK Tutorial from Raw Data to Biological Insights
This comprehensive guide provides researchers, scientists, and drug development professionals with a complete workflow for analyzing CRISPR screening data using MAGeCK.
LIGER Integrative Non-Negative Matrix Factorization: A Complete Guide for Multi-Omics Data Analysis in Biomedical Research
This article provides a comprehensive exploration of LIGER (Linked Inference of Genomic Experimental Relationships), a powerful integrative non-negative matrix factorization (iNMF) framework.