alexa Statistical Inference and Reconstruction of Gene Regul
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Special Issue Article

Statistical Inference and Reconstruction of Gene Regulatory Network from Observational Expression Profile

Prof. Shanthi Mahesh1, Kavya Sabu2, Dr. Neha Mangla3, Jyothi G V4, Suhas A Bhyratae5, Keerthana Muniraju6
  1. Department of ISE, Atria Institute of Technology, Bengaluru, Karnataka, India
  2. Department of ISE, Atria Institute of Technology, Bengaluru, Karnataka, India
  3. Department of ISE, Atria Institute of Technology, Bengaluru, Karnataka, India
  4. Department of ISE, Atria Institute of Technology, Bengaluru, Karnataka, India
  5. Department of ISE, Atria Institute of Technology, Bengaluru, Karnataka, India
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Abstract

In this paper, we present a systematic and conceptual overview of methods for inferring gene regulatory networks from observational gene expression data. Three different inference methods are used namely, ARACNE, CLR, and MRNET. Further, we generate the network containing the gene-gene interactions and compare the inference methods by calculating their accuracy

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