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ASmiR: a machine learning framework for prediction of abiotic stress-specific miRNAs in plants.
Pradhan, Upendra Kumar; Meher, Prabina Kumar; Naha, Sanchita; Rao, Atmakuri Ramakrishna; Kumar, Upendra; Pal, Soumen; Gupta, Ajit.
Afiliación
  • Pradhan UK; Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India.
  • Meher PK; Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India. prabina.meher@icar.gov.in.
  • Naha S; Division of Computer Applications, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India.
  • Rao AR; Indian Council of Agricultural Research (ICAR), New Delhi, India.
  • Kumar U; Department of Molecular Biology, Biotechnology and Bioinformatics, College of Basic Sciences and Humanities, CCS Haryana Agricultural University, Hisar, 125004, India.
  • Pal S; Division of Computer Applications, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India.
  • Gupta A; Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India.
Funct Integr Genomics ; 23(2): 92, 2023 Mar 20.
Article en En | MEDLINE | ID: mdl-36939943
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Funct Integr Genomics Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2023 Tipo del documento: Article País de afiliación: India
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: MicroARNs Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Funct Integr Genomics Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2023 Tipo del documento: Article País de afiliación: India