Development of a benchmark-based algorithm to integrate metabolic models and gene expression data for growth inhibition of HepG2 cell line

Blog projects Dr. Seyed Shahriar Arab Development of a benchmark-based algorithm to integrate metabolic models and gene expression data for growth inhibition of HepG2 cell line

By Oveis Jamialahmadi,PhD (2019). Advisor: Dr. Seyed Shahriar Arab.

Alidantism

August 31, 2021

Dr. Seyed Shahriar Arab PhD projects

PreviousPrediction of piRNAs in the mitochondria of breast cancer cells
NextDeveloping of tool for extracting protein descriptors of position specific scoring matrix(pssm)

Study of DNA polymerase KOD1 low error-rate mechanism by using computational protein engineering

Dr. Seyed Shahriar Arab, M.Sc, projects

Predicting wheat protein-protein interaction network using ensemble learning method based on evolutionary information

Dr. Javad Zahiri, PhD, projects

The initial conformation effect on the protein folding simulation

Dr. Seyed Shahriar Arab, PhD, projects

Development of a benchmark-based algorithm to integrate metabolic models and gene expression data for growth inhibition of HepG2 cell line

PreviousPrediction of piRNAs in the mitochondria of breast cancer cells

NextDeveloping of tool for extracting protein descriptors of position specific scoring matrix(pssm)

Related Posts ...

Study of DNA polymerase KOD1 low error-rate mechanism by using computational protein engineering

Predicting wheat protein-protein interaction network using ensemble learning method based on evolutionary information

The initial conformation effect on the protein folding simulation

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