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Aishwarya Jayagopal
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2020 – today
- 2024
- [j2]Herty Liany, Aishwarya Jayagopal, Dachuan Huang, Jing Quan Lim, Nur Izzah NBH, Anand Jeyasekharan, Choon Kiat Ong, Vaibhav Rajan:
ASTER: A Method to Predict Clinically Relevant Synthetic Lethal Genetic Interactions. IEEE J. Biomed. Health Informatics 28(3): 1785-1796 (2024) - [c2]Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan:
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer. ICML 2024 - [c1]Aishwarya Jayagopal, Hansheng Xue, Ziyang He, Robert J. Walsh, Krishna Kumar Hariprasannan, David Shao Peng Tan, Tuan Zea Tan, Jason J. Pitt, Anand D. Jeyasekharan, Vaibhav Rajan:
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information. KDD 2024: 5138-5149 - [i3]Aishwarya Jayagopal, Hansheng Xue, Ziyang He, Robert J. Walsh, Krishna Kumar Hariprasannan, David Shao Peng Tan, Tuan Zea Tan, Jason J. Pitt, Anand D. Jeyasekharan, Vaibhav Rajan:
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information. CoRR abs/2402.10551 (2024) - [i2]Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, Vaibhav Rajan:
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer. CoRR abs/2405.04078 (2024) - 2022
- [j1]Ragunathan Mariappan, Aishwarya Jayagopal, Ho Zong Sien, Vaibhav Rajan:
Neural Collective Matrix Factorization for integrated analysis of heterogeneous biomedical data. Bioinform. 38(19): 4554-4561 (2022) - [i1]Aishwarya Jayagopal, Ankireddy Monica Aiswarya, Ankita Garg, Srinivasan Kolumam Nandakumar:
Multimodal Representation Learning With Text and Images. CoRR abs/2205.00142 (2022)
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last updated on 2024-09-10 01:13 CEST by the dblp team
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