Implementation of a deep convolution neural network model for identifying and classifying Pleuropulmonary Blastoma on DNA sequences-Reference-Cited by-同舟云学术

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Implementation of a deep convolution neural network model for identifying and classifying Pleuropulmonary Blastoma on DNA sequences

Published:2023-09 Issue: Volume:5 Page:100233
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Bandi Raswitha^ORCID,Santhisri T.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Engineering,Energy Engineering and Power Technology

Reference24 articles.

1. Epidemiological features and survival outcomes in patients with malignant pulmonary blastoma: a US population-based analysis;Bu;BMC Cancer,2020

2. Association between congenital lung malformations and lung tumors in children and adults: a systematic review;Casagrande;J. Thorac. Oncol.,2016

3. The rise of deep learning in drug discovery;Chen;Drug Discov. Today,,2018

4. LOTUS: a single-and multitask machine learning algorithm for the prediction of cancer driver genes;Collier;PLoS Comput. Biol.,2019

5. Accuracy of chest computed tomography in distinguishing cystic pleuropulmonary blastoma from benign congenital lung malformations in children;Engwall-Gill;JAMA Netw. Open,2022

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