Machine learning with in silico analysis markedly improves survival prediction modeling in colon cancer patients-Reference-Cited by-同舟云学术

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Machine learning with in silico analysis markedly improves survival prediction modeling in colon cancer patients

Published:2022-11-07 Issue:6 Volume:12 Page:7603-7615
ISSN:2045-7634
Container-title:Cancer Medicine
language:en
Short-container-title:Cancer Medicine

Author:

Lee Choong‐Jae¹,Baek Bin²,Cho Sang Hee³,Jang Tae‐Young¹,Jeon So‐El¹,Lee Sunjae¹,Lee Hyunju²,Nam Jeong‐Seok¹⁴^ORCID

Affiliation:

1. School of Life Sciences Gwangju Institute of Science and Technology Gwangju Korea

2. School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology Gwangju Korea

3. Department of Hemato‐Oncology Chonnam National University Medical School Gwangju Korea

4. Cell Logistics Research Center Gwangju Institute of Science and Technology Gwangju South Korea

Funder

Gwangju Institute of Science and Technology

National Research Foundation

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.5420

Reference45 articles.

1. Mechanism-Centric Approaches for Biomarker Detection and Precision Therapeutics in Cancer

2. Prediction of lung cancer patient survival via supervised machine learning classification techniques

3. Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification

4. Feature selection in machine learning: A new perspective

5. Application of Machine Learning Approaches for Protein-protein Interactions Prediction

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