GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patients-Reference-Cited by-同舟云学术

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GCRS: A hybrid graph convolutional network for risk stratification in multiple myeloma cancer patients

Published:2022-10 Issue: Volume:149 Page:106048
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Sagar Dikshant^ORCID,Aggarwal Priya,Farswan Akanksha,Gupta Ritu^ORCID,Gupta Anubha^ORCID

Funder

Minneapolis Medical Research Foundation

Indraprastha Institute of Information Technology, Delhi

Multiple Myeloma Research Foundation

Infosys Centre for Artificial Intelligence, Indraprastha institute of Information Technology

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference38 articles.

1. Branching clonal evolution patterns predominate mutational landscape in multiple myeloma;Farswan;Am. J. Cancer Res.,2021

2. A clinical staging system for multiple myeloma correlation of measured myeloma cell mass with presenting clinical features, response to treatment, and survival;Durie;Cancer,1975

3. International staging system for multiple myeloma;Greipp;J. Clin. Oncol.,2005

4. Revised international staging system for multiple myeloma: a report from international myeloma working group;Palumbo;J. Clin. Oncol.,2015

5. Prognostic factors associated with progression of smoldering multiple myeloma to symptomatic form;Rago;Cancer,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing diagnostic accuracy of multiple myeloma through ML-driven analysis of hematological slides: new dataset and identification model to support hematologists;Scientific Reports;2024-05-15

2. Orchestrating information across tissues via a novel multitask GAT framework to improve quantitative gene regulation relation modeling for survival analysis;Briefings in Bioinformatics;2023-07

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