My research focuses on the formulation of the transcriptional regulatory network using machine learning and its integration with the metabolic networks to study cell phenotype.
Currently, I am trying to improve the prediction of the TRFBA algorithm. So, first I use a neural network to predict gene expression of metabolic genes as input of TRFBA. Finally, I will validate the model’s phenotypic predictions with experimental data from the literature.
Education
M.Sc, Tarbiat Modares University (TMU), Biotechnology Engineering, (2020-present)
B.Sc, Iran University Science and Technology (IUST), Chemical Engineering, (2016-2020)
Contact information
Email: elham.soorgi at gmail.com
Linkedin: www.linkedin.com/in/elham-soorgi