Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information-Reference-Cited by-同舟云学术

Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information

Published:2024-08-24 Issue: Volume:34 Page:5138-5149
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Jayagopal Aishwarya¹^ORCID,Xue Hansheng¹^ORCID,He Ziyang¹^ORCID,Walsh Robert J.²^ORCID,Hariprasannan Krishna Kumar¹^ORCID,Tan David Shao Peng³^ORCID,Tan Tuan Zea³^ORCID,Pitt Jason J.³^ORCID,Jeyasekharan Anand D.³^ORCID,Rajan Vaibhav¹^ORCID

Affiliation:

1. National University of Singapore, Singapore, Singapore

2. National University Cancer Institute, Singapore, Singapore

3. Cancer Science Institute of Singapore, Singapore, Singapore

Funder

National Research Foundation Singapore

National University of Singapore

Cancer Science Institute of Singapore, National University of Singapore

Pangestu Family Foundation Gynaecological Cancer Research Fund

National Medical Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671652

Reference63 articles.

1. A near-optimal algorithm for debiasing trained machine learning models;Alabdulmohsin Ibrahim M;Advances in Neural Information Processing Systems,2021

2. The Consequence of Oncomorphic TP53 Mutations in Ovarian Cancer

3. Progression-Free Survival Is a Surrogate for Survival in Advanced Colorectal Cancer

4. Ethan Cerami, Jianjiong Gao, Ugur Dogrusoz, Benjamin E Gross, Selcuk Onur Sumer, Bülent Arman Aksoy, Anders Jacobsen, Caitlin J Byrne, Michael L Heuer, Erik Larsson, et al. 2012. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer discovery, Vol. 2, 5 (2012), 401--404.

5. Noura J Choudhury, Jessica A Lavery, Samantha Brown, Ino de Bruijn, Justin Jee, Thinh Ngoc Tran, Hira Rizvi, Kathryn C Arbour, Karissa Whiting, Ronglai Shen, et al. 2023. The GENIE BPC NSCLC Cohort: A Real-World Repository Integrating Standardized Clinical and Genomic Data for 1,846 Patients with Non--Small Cell Lung Cancer. Clinical Cancer Research, Vol. 29, 17 (2023), 3418--3428.