ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25955/24523087.v2&rft.title=GRAMP - Software, datasets and User manual&rft.identifier=https://doi.org/10.25955/24523087.v2&rft.publisher=Federation University Australia&rft.description=GRAMP: Gene Regulatory Network Aggregation FrameworkGRAMP is a user friendly desktop Application for Ensemble Model Building, which has been made freely available for public use. This application offers two primary functionalities:Adding new inference methodsExecuting new gene expression datasets with unknown network structuresCurrently, GRAMP files.zip is password protected, and contact hasininakulugamuwagamage@students.federation.edu.au. More details and step by step guide to work with GRAMP is given in the provided user manual inside GRAMP files. Supplementary files include relevant source codes and datasets.&rft.creator=Hasini Nakulugamuwa-Gamage&rft.creator=Jennifer Hallinan&rft.creator=Madhu Chetty&rft.creator=Suryani Lim&rft.date=2024&rft_rights=CC-BY-4.0&rft_subject=Gene regulatory network reconstruction&rft_subject=Gene Regulatory Network inference&rft_subject=genetic systems&rft_subject=Ensemble modelling&rft_subject=Ensemble aggregation&rft_subject=Bioinformatics and computational biology not elsewhere classified&rft_subject=Health informatics and information systems&rft.type=Computer Program&rft.language=English Access the software

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GRAMP: Gene Regulatory Network Aggregation Framework

GRAMP is a user friendly desktop Application for Ensemble Model Building, which has been made freely available for public use. This application offers two primary functionalities:

  1. Adding new inference methods
  2. Executing new gene expression datasets with unknown network structures

Currently, GRAMP files.zip is password protected, and contact hasininakulugamuwagamage@students.federation.edu.au.

More details and step by step guide to work with GRAMP is given in the provided user manual inside GRAMP files. Supplementary files include relevant source codes and datasets.

Issued: 2023-11-08

Created: 2024-01-26

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