Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
In statistical hypothesis testing, specifically multiple hypothesis testing, the q-value in the Storey procedure provides a means to estimate the positive false discovery rate (pFDR). Just as the p-value gives the expected false positive rate obtained by rejecting the null hypothesis for any result with an equal or smaller p-value, the q-value gives the…
History & Measurement
Explore the main themes, entities and connections around Q-value (statistics). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
false displaystyle q-value positives rate hypothesis positive pfdr test true p-value negatives genes testing discovery null 05 results probability multiple
| Subject | Predicate | Object | Confidence | Src |
|---|
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.