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Ragunathan Mariappan

Showing results (1-10 of 6) with videos related to

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Bioinformatics (Oxford, England)|August 5, 2022
Neural Collective Matrix Factorization for integrated analysis of heterogeneous biomedical dataRagunathan Mariappan, Aishwarya Jayagopal, Ho Zong Sien, et al.
JMIR Medical Informatics|January 20, 2022
Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation StudySajit Kumar, Alicia Nanelia, Ragunathan Mariappan, et al.
JMIR Medical Informatics|October 25, 2021
Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and ValidationSoham Dasgupta, Aishwarya Jayagopal, Abel Lim Jun Hong, et al.
Nature Communications|January 24, 2023
scMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detectionZiqi Zhang, Haoran Sun, Ragunathan Mariappan, et al.
Iscience|March 31, 2025
A multi-task domain-adapted model to predict chemotherapy response from mutations in recurrently altered cancer genesAishwarya Jayagopal, Robert J Walsh, Krishna Kumar Hariprasannan, et al.
JCO Clinical Cancer Informatics|November 5, 2025
Augmenting Large Language Models With National Comprehensive Cancer Network Guidelines for Improved and Standardized Adjuvant Therapy Recommendations in Postoperative Breast Cancer CasesSerene Si Ning Goh, Ragunathan Mariappan, Grace Soo Woon Tan, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|August 5, 2022
Neural Collective Matrix Factorization for integrated analysis of heterogeneous biomedical dataRagunathan Mariappan, Aishwarya Jayagopal, Ho Zong Sien, et al.
JMIR Medical Informatics|January 20, 2022
Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation StudySajit Kumar, Alicia Nanelia, Ragunathan Mariappan, et al.
JMIR Medical Informatics|October 25, 2021
Adverse Drug Event Prediction Using Noisy Literature-Derived Knowledge Graphs: Algorithm Development and ValidationSoham Dasgupta, Aishwarya Jayagopal, Abel Lim Jun Hong, et al.
Nature Communications|January 24, 2023
scMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detectionZiqi Zhang, Haoran Sun, Ragunathan Mariappan, et al.
Iscience|March 31, 2025
A multi-task domain-adapted model to predict chemotherapy response from mutations in recurrently altered cancer genesAishwarya Jayagopal, Robert J Walsh, Krishna Kumar Hariprasannan, et al.
JCO Clinical Cancer Informatics|November 5, 2025
Augmenting Large Language Models With National Comprehensive Cancer Network Guidelines for Improved and Standardized Adjuvant Therapy Recommendations in Postoperative Breast Cancer CasesSerene Si Ning Goh, Ragunathan Mariappan, Grace Soo Woon Tan, et al.
Pageof 1