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Yelda Fırat

Showing results (1-10 of 5) with videos related to

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Frontiers in Bioinformatics|June 29, 2026
Explainable machine learning-based identification of transcriptomic biomarkers in CD1c+ dendritic cells for non-infectious uveitis: an integrative analysis of bulk RNA-seq dataYelda Fırat
Frontiers in Psychiatry|April 8, 2026
SHAP-based explainable AI framework for autism severity classification using 3D motor biomarkersYelda Fırat
Frontiers in Digital Health|March 6, 2026
An explainable ensemble machine learning model using baseline blood transcriptomics to predict Parkinson's disease motor progressionYelda Fırat
Frontiers in Bioengineering and Biotechnology|May 18, 2026
An explainable ensemble machine learning framework for predicting cartilage biomechanical degradation from transcriptomic profiles: toward smart orthopedic device designYelda Fırat
Multiple Sclerosis and Related Disorders|June 20, 2026
Exploratory analysis of pupillography-based machine learning for assessing autonomic dysfunction in multiple sclerosisNeslihan Parmak Yener, Yelda Fırat, Meral Seferoğlu, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Bioinformatics|June 29, 2026
Explainable machine learning-based identification of transcriptomic biomarkers in CD1c+ dendritic cells for non-infectious uveitis: an integrative analysis of bulk RNA-seq dataYelda Fırat
Frontiers in Psychiatry|April 8, 2026
SHAP-based explainable AI framework for autism severity classification using 3D motor biomarkersYelda Fırat
Frontiers in Digital Health|March 6, 2026
An explainable ensemble machine learning model using baseline blood transcriptomics to predict Parkinson's disease motor progressionYelda Fırat
Frontiers in Bioengineering and Biotechnology|May 18, 2026
An explainable ensemble machine learning framework for predicting cartilage biomechanical degradation from transcriptomic profiles: toward smart orthopedic device designYelda Fırat
Multiple Sclerosis and Related Disorders|June 20, 2026
Exploratory analysis of pupillography-based machine learning for assessing autonomic dysfunction in multiple sclerosisNeslihan Parmak Yener, Yelda Fırat, Meral Seferoğlu, et al.
Pageof 1