GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides.
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| Title: | GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides. |
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| Authors: | Singh J; Department of Computer Science, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India., Khanna NN; Department of Cardiology, Indraprastha APOLLO Hospitals, New Delhi, India., Rout RK; Department of Computer Science and Engineering, NIT Srinagar, Hazratbal, Srinagar, India., Singh N; Department of Food Science, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India., Laird JR; Heart and Vascular Institute, Adventist Health St. Helena, St Helena, CA, USA., Singh IM; Advanced Cardiac and Vascular Institute, Sacramento, CA, USA., Kalra MK; Department of Radiology, Massachusetts General Hospital, Boston, MA, 02115, USA., Mantella LE; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada., Johri AM; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada., Isenovic ER; Laboratory for Molecular Genetics and Radiobiology, University of Belgrade, Belgrade, Serbia., Fouda MM; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, 83209, USA., Saba L; Department of Neurology, University of Cagliari, Cagliari, Italy., Fatemi M; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, 55905, USA., Suri JS; Stroke Monitoring and Diagnostic Division, AtheroPoint LLC, Roseville, CA, 95661, USA. jasjit.suri@atheropoint.com. |
| Source: | Scientific reports [Sci Rep] 2024 Mar 26; Vol. 14 (1), pp. 7154. Date of Electronic Publication: 2024 Mar 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-024-56786-9 |