Anshuman Gupta, Costas D. Maranas, Réka Albert
Figure S1 shows the co-expression network at the chosen similarity threshold value of 0.90. The network was composed of 262 nodes connected by a total of 530 edges while the remaining 484 nodes were...
BIOINFORMATICS ORIGINAL PAPER (2008)
Gene Expression, Anshuman Gupta, Costas D. Maranas, Réka Albert
Vol. 22 no. 2 2006, pages 209–214 doi:10.1093/bioinformatics/bti780 Elucidation of directionality for co-expressed genes: predicting intra-operon termination sites
Gupta, Anshuman, Maranas, Costas D., Albert, Réka
Motivation: In this paper, we present a novel framework for inferring regulatory and sequence-level information from gene co-expression networks. The key idea of our methodology is the systematic...
Gupta, Anshuman, Maranas, Costas D., Albert, Reka
We present a novel framework for inferring regulatory and sequence-level information from gene co-expression networks. The key idea of our methodology is the systematic integration of network...
Gupta, Anshuman, Maranas, Costas D., Albert, Réka
Motivation: In this paper, we present a novel framework for inferring regulatory and sequence-level information from gene co-expression networks. The key idea of our methodology is the systematic...
Abstract Managing demand uncertainty in supply chain planning (2003)
Anshuman Gupta, Costas D. Maranas
In this work, we provide an overview of our previously published works on incorporating demand uncertainty in midterm planning of multisite supply chains. A stochastic programming based approach is...
Computational Modelling of Genome-Side Transcription Assembly Networks Using a Fluidics Analogy
Azmy, Yousry Y., Gupta, Anshuman, Pugh, B. Franklin
Understanding how a myriad of transcription regulators work to modulate mRNA output at thousands of genes remains a fundamental challenge in molecular biology. Here we develop a computational tool to...