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Ryan G Benton

Showing results (1-10 of 10) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|May 26, 2017
Effective Removal of Noisy Data Via Batch Effect ProcessingRyan G Benton
Methods in Molecular Biology (Clifton, N.J.)|May 26, 2017
Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and FunctionsSumi Singh, Ryan G Benton, Anurag Singh, et al.
International Journal of Data Mining and Bioinformatics|June 20, 2013
Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's diseaseMurat Seckin Ayhan, Ryan G Benton, Vijay V Raghavan, et al.
Environmental and Molecular Mutagenesis|September 26, 2024
Artificial targeting of the NEIL1 DNA glycosylase to the mitochondriaMarlo K Thompson, Mark H Eggers, Ryan G Benton, et al.
International Journal of Data Mining and Bioinformatics|November 10, 2015
Exploiting multi-layered vector spaces for signal peptide detectionTom Johnsten, Laura Fain, Leanna Fain, et al.
Plos One|April 15, 2025
Assessing the feasibility of large language models to identify top research priorities in enhanced external counterpulsationShengkun Gai, Fangwan Huang, Xuanyun Liu, et al.
Plos One|November 3, 2025
Correction: Assessing the feasibility of large language models to identify top research priorities in enhanced external counterpulsationShengkun Gai, Fangwan Huang, Xuanyun Liu, et al.
Journal of Healthcare Engineering|May 10, 2021
Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise TestingFangwan Huang, Xiuyu Leng, Mohan Vamsi Kasukurthi, et al.
Respiratory Research|November 22, 2025
Metabolomic biomarkers predict long-term physical function in survivors of acute respiratory failureAdeyeye I Haastrup, Justin T Roberts, Sheetal Gandotra, et al.
Research Square|November 24, 2025
Metabolomic Biomarkers Predict Long-term Physical Function in Survivors of Acute Respiratory FailureAdeyeye I Haastrup, Justin T Roberts, Sheetal Gandotra, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Methods in Molecular Biology (Clifton, N.J.)|May 26, 2017
Effective Removal of Noisy Data Via Batch Effect ProcessingRyan G Benton
Methods in Molecular Biology (Clifton, N.J.)|May 26, 2017
Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and FunctionsSumi Singh, Ryan G Benton, Anurag Singh, et al.
International Journal of Data Mining and Bioinformatics|June 20, 2013
Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's diseaseMurat Seckin Ayhan, Ryan G Benton, Vijay V Raghavan, et al.
Environmental and Molecular Mutagenesis|September 26, 2024
Artificial targeting of the NEIL1 DNA glycosylase to the mitochondriaMarlo K Thompson, Mark H Eggers, Ryan G Benton, et al.
International Journal of Data Mining and Bioinformatics|November 10, 2015
Exploiting multi-layered vector spaces for signal peptide detectionTom Johnsten, Laura Fain, Leanna Fain, et al.
Plos One|April 15, 2025
Assessing the feasibility of large language models to identify top research priorities in enhanced external counterpulsationShengkun Gai, Fangwan Huang, Xuanyun Liu, et al.
Plos One|November 3, 2025
Correction: Assessing the feasibility of large language models to identify top research priorities in enhanced external counterpulsationShengkun Gai, Fangwan Huang, Xuanyun Liu, et al.
Journal of Healthcare Engineering|May 10, 2021
Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise TestingFangwan Huang, Xiuyu Leng, Mohan Vamsi Kasukurthi, et al.
Respiratory Research|November 22, 2025
Metabolomic biomarkers predict long-term physical function in survivors of acute respiratory failureAdeyeye I Haastrup, Justin T Roberts, Sheetal Gandotra, et al.
Research Square|November 24, 2025
Metabolomic Biomarkers Predict Long-term Physical Function in Survivors of Acute Respiratory FailureAdeyeye I Haastrup, Justin T Roberts, Sheetal Gandotra, et al.
Pageof 1