Forest Plot

Display effect sizes with 95% confidence intervals across studies, genes or biomarkers — the standard visualization for meta-analysis and survival associations.

Visualization Parameters

Upload your data and generate the forest plot

Upload Data File

TSV/CSV: Study, Effect, Lower, Upper

Required Files

effects.tsv — effect-size table: Study, Effect, Lower, Upper (95% CI)

Format

Row = one study / variable / biomarker
Study: row label (aliases: Variable, Gene, Item)
Effect: point estimate — HR, OR or beta (aliases: HR, OR, Estimate)
Lower / Upper: confidence-interval bounds
Reference line at 1 for ratio measures, at 0 for differences (auto)

Example Data

Study	Effect	Lower	Upper
UCP1	0.62	0.48	0.81
CPT1A	0.74	0.58	0.95
HIF1A	1.35	1.08	1.69
VEGFA	1.52	1.15	2.01

Forest Plot

Upload data and click Generate, or run with example data

Documentation

Input format: table with Study, Effect, Lower, Upper; common aliases (Variable, HR, OR, CI_low, CI_high) are recognized.

Interpretation: the diamond marks the point estimate, whiskers the 95% CI. Rows whose CI does not cross the reference line are colored red (significant), others dark green. The reference line is placed at 1 when effects look like ratios, otherwise at 0.

Typical use: summarize hazard ratios of candidate dormancy biomarkers or meta-analysis results.