Using biological constraints to improve prediction in precision oncology-Reference-Cited by-同舟云学术

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Using biological constraints to improve prediction in precision oncology

Published:2023-03 Issue:3 Volume:26 Page:106108
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Omar Mohamed^ORCID,Dinalankara Wikum,Mulder Lotte,Coady Tendai,Zanettini Claudio,Imada Eddie Luidy,Younes Laurent,Geman Donald,Marchionni Luigi^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference92 articles.

1. 70-Gene signature as an aid to treatment decisions in early-stage breast cancer;Cardoso;N. Engl. J. Med.,2016

2. Analytical validation of the Oncotype DX prostate cancer assay - a clinical RT-PCR assay optimized for prostate needle biopsies;Knezevic;BMC Genom.,2013

3. Machine learning and integrative analysis of biomedical big data;Mirza;Genes,2019

4. Curse of Dimensionality;Keogh,2010

5. Classifier technology and the illusion of progress;Hand;Stat. Sci.,2006

Cited by 3 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. Distinct mesenchymal cell states mediate prostate cancer progression;Nature Communications;2024-01-08

2. Notch-based gene signature for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer;Journal of Translational Medicine;2023-11-15

3. Distinct mesenchymal cell states mediate prostate cancer progression;2023-04-01

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