log2FC ↔ Fold Change Online Converter
Differential expression results are reported as log2FC, but when describing results, researchers typically say “upregulated X-fold.” The relationship between the two is:
FC = 2 ^ log2FC log2FC = log2(FC)
Why log2? Raw fold changes are asymmetric: a 2-fold upregulation is 2, but a 2-fold downregulation is 0.5. All downregulated genes are crammed between 0 and 1, while upregulated genes spread from 1 to infinity — awkward for both plotting and statistics. After log2 transformation, a 2-fold upregulation becomes +1 and a 2-fold downregulation becomes −1, symmetric around 0.
Common threshold reference:
| log2FC | Fold Change | Meaning |
|---|---|---|
| 0.585 | 1.5× | Lenient; commonly used when sample size is small or effect size is weak |
| 1 | 2× | The most widely used default threshold |
| 1.585 | 3× | Stringent |
| 2 | 4× | Retains only large-effect genes |
Important note: The log2FC threshold and statistical significance (p / q value) are two independent filters that must be applied together. Filtering on fold change alone without a q-value cutoff lets random noise in lowly expressed genes masquerade as large fold changes; filtering on q value alone without a fold-change cutoff flags tiny changes in highly expressed genes that are statistically significant but biologically meaningless.
FAQ
What does log2FC = −1 mean in terms of downregulation?
Expression drops to 0.5× the baseline — a 50% reduction, commonly described as '2-fold downregulated.'
Is it acceptable to filter on log2FC > 1 alone?
Not recommended. You must also apply an adjusted q-value cutoff; otherwise, noise in lowly expressed genes will masquerade as large fold changes.
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