Discriminant Analysis of Lung Cancer Using Nonlinear Clustering of Copy Numbers-Reference-Cited by-同舟云学术

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Discriminant Analysis of Lung Cancer Using Nonlinear Clustering of Copy Numbers

Published:2020-01-30 Issue:2 Volume:38 Page:102-112
ISSN:0735-7907
Container-title:Cancer Investigation
language:en
Short-container-title:Cancer Investigation

Author:

Kachouie Nezamoddin N.¹^ORCID,Shutaywi Meshal¹,Christiani David C.²³^ORCID

Affiliation:

1. Department of Mathematical Sciences, Florida Institute of Technology, Melbourne, Florida, USA;

2. Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA;

3. Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA

Publisher

Informa UK Limited

Subject

Cancer Research,Oncology,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/07357907.2020.1719501

Reference47 articles.

1. Efficient change point detection for genomic sequences of continuous measurements

2. Non-Parametric Change-Point Method for Differential Gene Expression Detection

3. A statistical method to detect chromosomal regions with DNA copy number alterations using SNP-array-based CGH data

4. Copy-number-variation and copy-number-alteration region detection by cumulative plots

5. The potential of copy number gains and losses, detected by array-based comparative genomic hybridization, for computational differential diagnosis of B-cell lymphomas and genetic regions involved in lymphomagenesis

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1. Lung cancer clustering by identification of similarities and discrepancies of DNA copy numbers using maximal information coefficient;PLOS ONE;2024-05-13

2. Chromosomal Copy Number Variation Predicts EGFR-TKI Response and Prognosis for Patients with Non-Small Cell Lung Cancer;Pharmacogenomics and Personalized Medicine;2023-09

3. Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis;Clinical Chemistry and Laboratory Medicine (CCLM);2022-06-30

4. Artificial Intelligence in Healthcare: Algorithms and Decision Support Systems;Smart Systems for Industrial Applications;2022-01-11

5. Data Analysis on Cancer Disease Using Machine Learning Techniques;Intelligent Systems Reference Library;2021

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