Data analysis

Multi-Omics Correlation Analysis Guide for Omics Data Integration

May 07, 2026

Learn how to choose multi-omics correlation methods for integrating transcriptomics, proteomics, and metabolomics data.

Reactome Pathway Analysis in Omics Research: A Complete Guide to Applications, Visualization, and Interpretation

May 06, 2026

Learn what Reactome pathway analysis is, when to use it in omics research, how it compares with KEGG, and how to interpret key results.

What Is ORA? Over-Representation Analysis in Omics

Apr 29, 2026

Learn how ORA turns gene, protein, or metabolite lists into pathway insights, with workflow, tools, and best practices for omics studies.

ORA vs GSEA: Choosing the Right Pathway Enrichment Method

Apr 27, 2026

Compare ORA and GSEA for omics pathway enrichment and learn when to use each method for proteomics interpretation.

Multiple Testing Correction in Proteomics: FWER vs FDR Methods

Apr 27, 2026

Learn how Bonferroni, Holm, Hochberg, BH, and BY corrections control false positives in differential proteomics and when to use each method.

ANOVA vs Welch ANOVA vs Kruskal-Wallis for Multi-Group Omics Data

Apr 21, 2026

Learn when to use ANOVA, Welch ANOVA, or Kruskal-Wallis for multi-group omics data, and avoid common statistical mistakes in proteomics and metabolomics.

p-Value vs FDR in Omics: Adjusted p-Value and q-Value Explained

Apr 20, 2026

Understand p-value, adjusted p-value, FDR, and q-value in omics, and choose better thresholds for proteomics and metabolomics studies.

Statistical Tests for Differential Protein Expression in Proteomics

Apr 17, 2026

Learn when to use t-test, Wilcoxon, ANOVA, or Kruskal-Wallis for differential protein expression in proteomics, with practical selection guidance.

T-Test vs Welch's T-Test vs Mann–Whitney U: Which Test Should You Use in Omics?

Apr 16, 2026

Learn how to choose between Student's t-test, Welch's t-test, and Mann–Whitney U for omics data based on variance, sample size, outliers, and biological meaning.

KEGG vs GO vs COG/KOG: Choosing the Right Functional Annotation Strategies for Multi-Omics Analysis

Apr 16, 2026

Understand the differences between COG/KOG, GO, and KEGG, and learn how to choose the right functional annotation strategy for multi-omics data analysis.

COG vs KOG Functional Annotation: Differences, Workflow, and Multi-Omics Applications

Apr 14, 2026

Learn the difference between COG and KOG, how functional annotation works, and how to apply enrichment analysis in multi-omics research.

Fold Change, p-Value, FDR & VIP in Omics Differential Analysis

Apr 09, 2026

Learn how to evaluate fold change, p-value, FDR, and VIP in omics studies to build more reliable candidate lists for biomarker screening and differential analysis.

How to Interpret KEGG Enrichment Analysis Results

Apr 08, 2026

Learn how to interpret KEGG enrichment analysis results using Rich Factor, Gene Count, FDR, pathway significance, and KEGG pathway maps for clearer biological insights.

Correlation Heatmaps: How to Create, Interpret, and Compare Pearson vs Spearman

Apr 03, 2026

Learn how to create and interpret correlation heatmaps, choose Pearson vs Spearman, use clustering correctly, and read heatmap patterns with confidence.

PLS-DA vs OPLS-DA: Choosing the Right Multivariate Analysis Method for Omics Data

Apr 03, 2026

Comprehensive comparison of PLS-DA and OPLS-DA for omics data analysis. Learn when to use each method, key differences, and practical applications in metabolomics research.

A Complete Guide to Spearman Rank Correlation in Multi-Omics Research

Mar 26, 2026

Learn what Spearman correlation is, how it differs from Pearson, and why it is ideal for non-normal, non-linear multi-omics data analysis.

Pearson vs Spearman Correlation: How to Choose the Right Method for Multi-Omics Data Analysis

Mar 25, 2026

Learn when to use Pearson vs Spearman correlation in multi-omics data analysis, and avoid common mistakes in genomics, proteomics, and metabolomics.

PLS-DA in Metabolomics: Principles, Workflow, Interpretation, and Best Practices

Mar 24, 2026

Learn what PLS-DA is, how it works in metabolomics, how to interpret score plots and VIP values, and how to avoid overfitting in biomarker discovery.

A Practical Guide to OPLS-DA: Principles, Workflow, and Result Interpretation in Omics Data Analysis

Mar 13, 2026

Learn what OPLS-DA is, how to perform it step by step, and how to interpret score plots, VIP scores, and validation results correctly in omics data analysis.

PCoA vs. NMDS in Omics: Choosing the Appropriate Ordination Method

Dec 19, 2025

PCoA vs NMDS in omics: learn key assumptions, how to interpret inertia vs stress, and a practical workflow to choose the right ordination method.