Predicting the Driver Variants and Mutations in Lung Cancer Genome using Transcriptional Regulation Network

Author:

Chereddy Spandana1,Srisurya Ippatapu Venkata1,Bogineni Harshit,R Prasanna Kumar1,G Bharathi Mohan1

Affiliation:

1. Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Reference15 articles.

1. Global transcriptional regulatory network forEscherichia colirobustly connects gene expression to transcription factor activities

2. A parallel algorithm for extracting transcriptional regulatory network motifs;wang;Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05),0

3. An empirical study on machine learning algorithms for heart disease prediction;kumar;IAES Int J Artif Intell,2021

4. A Variational Autoencoder—General Adversarial Networks (VAE-GAN) Based Model for Ligand Designing;mukesh;International Conference on Innovative Computing and Communications,2023

5. A graph-based approach to systematically reconstruct human transcriptional regulatory modules;xifeng;Bioinformatics,2007

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