Found 9 datasets matching "GenRA".
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These new analysis builds on the baseline GenRA approach and presents a proof of concept of how other contexts of similarity namely physchem can be implemented into a search strategy for...
Search relevance: 156.48 | Views last month: 0 -
Dataset for "Development of a CSRML version of the Analog Identification Methodology (AIM) fragments and their evaluation within the Generalised Read-Across (GenRA) approach.”. This dataset is...
Search relevance: 131.81 | Views last month: 0 -
Read-across (RAX) is a widely used data gap filling approach and the authors have developed a data-driven tool, called GenRA, to support expert-driven RAX. This work describes a stand-alone Python...
Search relevance: 124.78 | Views last month: 1 -
Per Imran Shah, this was the Data used in and published as supplemental material for this manuscript. Table S1. Aggregated point of departure (POD) data obtained from ToxRefDB v2.0. Table S2....
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This repository contains code, input and output files associated with the GenRA acute toxicity case study that was published by Helman et al (2019) in Computational Toxicology. This dataset is...
Search relevance: 104.46 | Views last month: 0 -
Here are all of the data files used for this manuscript. Please note that this is all published data. Imran Shah 1.1060+ Chemicals and Chemical controls 2. Chemical descriptors (chm): 2048 Morgan...
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G. Patlewicz, P. Karamertzanis, K. Paul Friedman, M. Sannicola, I. Shah, A systematic analysis of read-across within REACH registration dossiers, Computational Toxicology, Volume 30, 2024, 100304,...
Search relevance: 35.78 | Views last month: 0 -
Supplementary data for "Tia Tate, Grace Patlewicz, Imran Shah, A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted...
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Read-across is a popular data gap filling technique within category and analogue approaches for regulatory purposes. Acceptance of read-across remains an ongoing challenge with several efforts...
Search relevance: 26.62 | Views last month: 0
