Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Which rules for assembling short-term test batteries to predict carcinogenicity?

Molecular toxicology - 1 Jan 2000

Benigni R, Giuliani A

Abstract excerpt

The main theme of this paper is to describe the basic requirements for assembling reliable batteries of short-term tests for carcinogenicity prediction. For this purpose, a subset of the data base generated by the International Program for Evaluation of Short-Term Tests for Carcinogens (IPESTTC) has been studied by different data-analysis methods. Much attention has been focused on the methodological dimensions...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Carcinogens
Share to Cells, Cultured
Share to Chromosome Aberrations

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to DNA Damage

Share to In Vitro Techniques

Share to Mutagenicity Tests

Share to Mutation

Share to Time Factors

Source

Identifiers

PMID: 3449755

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 8 closest

Which rules for assembling short-term test batteries to predict carcinogenicity?PMID 3449755Read ↗

The ability of short-term tests to predict carcinogenicity can be summarized in a single index.Semantic proximity Read ↗

The optimal design of batteries of short-term tests for detecting carcinogens.Semantic proximity Read ↗

Prediction of cancer potency using a battery of mutation and toxicity data.Semantic proximity Read ↗

Screening and prioritising Persistent, Mobile and Toxic chemicals: development and application of a robust scoring systemSemantic proximity Read ↗

Structure alerts for carcinogenicity, and the Salmonella assay system: a novel insight through the chemical relational databases technology.Semantic proximity Read ↗

Relationships among in vitro mutagenicity assays: quantitative vs. qualitative test results.Semantic proximity Read ↗

Optimizing predictive performance of CASE Ultra expert system models using the applicability domains of individual toxicity alerts.Semantic proximity Read ↗

[Low efficiency of short-term tests in the assessment of the potential mutagenic hazard of chemical compounds to mammals].Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.