Machine Learning Approaches on High Throughput NGS Data to Unveil Mechanisms of Function in Biology and Disease-Reference-Cited by-同舟云学术

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Machine Learning Approaches on High Throughput NGS Data to Unveil Mechanisms of Function in Biology and Disease

Published:2021 Issue:5 Volume:18 Page:605-626
ISSN:1109-6535
Container-title:Cancer Genomics - Proteomics
language:en
Short-container-title:Cancer Genomics Proteomics

Author:

PEZOULAS VASILEIOS C.,HAZAPIS ORSALIA,LAGOPATI NEFELI,EXARCHOS THEMIS P.,GOULES ANDREAS V.,TZIOUFAS ATHANASIOS G.,FOTIADIS DIMITRIOS I.,STRATIS IOANNIS G.,YANNACOPOULOS ATHANASIOS N.,GORGOULIS VASSILIS G.

Publisher

Anticancer Research USA Inc.

Subject

Cancer Research,Genetics,Molecular Biology,Biochemistry

Cited by 13 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. Establishment of Three Gene Prognostic Markers in Pancreatic Ductal Adenocarcinoma Using Machine Learning Approach;Journal of Medical and Biological Engineering;2024-05-09

2. PIGOME: An Integrated and Comprehensive Multi-omics Database for Pig Functional Genomics Studies;2024-03-13

3. Effects of genetic variation on the structure of RNA and protein;PROTEOMICS;2024-01-10

4. Reclassification of Splicing Gene Variants in Hereditary Cancer: Cases Report and Literature Review;In Vivo;2023

5. The Application of AI in Precision Oncology: Tailoring Diagnosis, Treatment, and the Monitoring of Disease Progression to the Patient;Artificial Intelligence and Precision Oncology;2023

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