KRISHI
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/76542
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dipro Sinha, | en_US |
dc.contributor.author | Sunil Archak, | en_US |
dc.contributor.author | Dwijesh Chandra Mishra, | en_US |
dc.contributor.author | Tanwy Dasmandal, | en_US |
dc.contributor.author | Md Yeasin | en_US |
dc.date.accessioned | 2023-03-02T09:18:37Z | - |
dc.date.available | 2023-03-02T09:18:37Z | - |
dc.date.issued | 2022-10-01 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/76542 | - |
dc.description | Not Available | en_US |
dc.description.abstract | DNA methylation (6mA) is a major epigenetic process by which alteration in gene expression took place without changing the DNA sequence. Predicting these sites in-vitro is laborious, time consuming as well as costly. This 'EpiSemble' package is an in-silico pipeline for predicting DNA sequences containing the 6mA sites. It uses an ensemble-based machine learning approach by combining Support Vector Machine (SVM), Random Forest (RF) and Gradient Boosting approach to predict the sequences with 6mA sites in it. This package has been developed by using the concept of Chen et al. (2019) | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | R-package | en_US |
dc.title | R-package EpiSemble: Ensemble Based Machine Learning Approach for Predicting Methylation States | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Software Code or Macro | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Not Available | en_US |
dc.publication.volumeno | Not Available | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://CRAN.R-project.org/package=EpiSemble | en_US |
dc.publication.authorAffiliation | ICAR::National Bureau of Plant Genetics Resources | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
Appears in Collections: | AEdu-IASRI-Publication |
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