e-ISSN: Pending
Null Dataset· cited by 37

Robust and rigorous identification of tissue-specific genes by statistically extending tau score

Hatice Büşra Lüleci; Alper Yılmaz · 2022 · BioData Mining

WASTE classifies this as Null Dataset · AI classification, approximate

A negative-result dataset — reusable evidence that an expected effect wasn't there.

Abstract (excerpt)

Abstract Objectives In this study, we aimed to identify tissue-specific genes for various human tissues/organs more robustly and rigorously by extending the tau score algorithm. Introduction Tissue-specific genes are a class of genes whose…

Excerpt shown for reference under fair use — read the full paper at the publisher.

Read full paper at publisher

Hosted by the publisher — may require access.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: Crossref · DOI 10.1186/s13040-022-00315-9