Classifying mutagenic origins

Source code demonstrating machine learning techniques for classifying mutagenic origins. Written in Python3. Differs from the original version by being just a standalone pip installable module. The scripts and derived data used for analysis are in linked records.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.5281/zenodo.3497585
PID https://www.doi.org/10.5281/zenodo.1283515
PID https://www.doi.org/10.5281/zenodo.1283516
URL https://figshare.com/articles/Classifying_mutagenic_origins/11493066
URL http://dx.doi.org/10.5281/zenodo.1283516
URL https://zenodo.org/record/3497585
URL http://dx.doi.org/10.5281/zenodo.3497585
URL http://dx.doi.org/10.5281/zenodo.1283515
URL https://zenodo.org/record/1283516
URL https://figshare.com/articles/Classifying_mutagenic_origins/6449291
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Open Source
Attribution

Description: Authorships and contributors

Field Value
Author Yicheng Zhu
Author Ong, Cheng Soon
Author Huttley, Gavin, 0000-0001-7224-2074
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Zenodo; Datacite; figshare
Hosted By Zenodo; figshare
Publication Date 2019-10-18
Publisher Zenodo
Additional Info
Field Value
Language English
Resource Type Software
system:type software
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/software?softwareId=dedup_wf_001::bf26af60417ad8c8cfc93a7cb8480fd5
Author jsonws_user
Last Updated 17 December 2020, 19:03 (CET)
Created 17 December 2020, 19:03 (CET)