Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option-Reference-Cited by-同舟云学术

Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option

Published:2022-11-30 Issue:1 Volume:36 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Mir Adil Aslam¹,Hussain Lal¹²,Waseem Muhammad Hammad²,Aldweesh Amjad³,Rasheed Saim⁴,Yousef El Sayed⁵⁶,Nadeem Malik Sajjad Ahmed¹,Eldin Elsayed Tag⁷

Affiliation:

1. Department of Computer Science and Information Technology, King Abdullah Campus Chatter Kalas, University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan

2. Department of Computer Science and Information Technology, Neelum Campus, University of Azad Jammu and Kashmir, Athmuqam, Azad Kashmir, Pakistan

3. College of Computer science and information technology, Shaqra University, Sahqra, Saudi Arabia

4. Department of Information Technology, Faculty of Computing and IT, King Abdulaziz University, Jeddah, Saudi Arabia

5. Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia

6. Physics Dep. Faculty of Science, King Khalid University, Abha, Saudi Arabia

7. Faculty of Engineering and Technology, Future University in Egypt New Cairo, New Cairo, Egypt

Funder

King Khalid University

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2151171

Reference17 articles.

1. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

2. Boosting the margin: a new explanation for the effectiveness of voting methods

3. Reducing the Frequency of Errors in Medicine Using Information Technology

4. Nearest neighbor pattern classification

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