Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research-Reference-Cited by-同舟云学术

Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research

Published:2020-02 Issue: Volume:102 Page:103373
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Belciug Smaranda^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference40 articles.

1. A. Perez-Diez, A. Morgun, N. Shulzhenko, Microarrays for cancer diagnosis and classification, in: Madame Curie Bioscience Database, Austim (TX): Landes Bioscience, 2013.

2. Gene expression arrays in cancer research: methods and applications;Brentani;Crit. Rev. Oncol. Hematol.,2004

3. Novel blood-based microRNA biomarker panel for early diagnosis of pancreatic cancer;Ganelopa;World J. Gastrointest. Oncol.,2014

4. Circulating microRNAs: emerging biomarkers for diagnosis and prognosis in patients with gastrointestinal cancers;Lindner;Clin. Sci.,2015

5. Chromosomal microarray provides enhanced targetable gene aberration detection when paired with next generation sequencing panel in profiling lung and colorectal tumors;Mukherjee;Cancer Genet.,2016

Cited by 18 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. Regression Method in Data Mining: A Systematic Literature Review;Archives of Computational Methods in Engineering;2024-03-27

2. Breast Cancer Classification With Microarray Gene Expression Data Based on Improved Whale Optimization Algorithm;International Journal of Swarm Intelligence Research;2023-02-03

3. Knowledge-based statistical data analysis for deep learning and voting classifiers merger;Procedia Computer Science;2023

4. Penalized logistic regression with prior information for microarray gene expression classification;The International Journal of Biostatistics;2022-11-25

5. Non-parametric Rank Correlation Trained Single-Hidden Layer Feedforward Neural Networks for Medical Data;Intelligent Methods Systems and Applications in Computing, Communications and Control;2022-09-25