DML
DML Sharif University of Technology

Hamed Dashti

Group Bioinformatics and Computational Biology
Entrance 2018

Experienced Research Assistant with a demonstrated history of working in the higher education industry. Skilled in Bioinformatics, R (Programming Language), Statistics, and Data Analysis. Strong research professional with a Master of Science (M.S.) focused in Computational Biology from Sharif University of Technology. Experienced Research Assistant with a demonstrated history of working in the higher education industry. Skilled in Bioinformatics, R (Programming Language), Statistics, and Data Analysis. Strong research professional with a Master of Science (M.S.) focused in Computational Biology from Sharif University of Technology.

Integrative analysis of mutated genes and mutational processes reveals seven colorectal cancer subtypes's cover
Integrative analysis of mutated genes and mutational processes reveals seven colorectal cancer subtypes

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Whole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Mutational Biomarkers in Pancreatic Cancer's cover
Whole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Mutational Biomarkers in Pancreatic Cancer

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Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types's cover
Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types

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Whole-Genome Analysis of De Novo Somatic Point Mutations Reveals Novel Mutational Biomarkers in Pancreatic Cancer
A. Ghareyazi , A. Mohseni , H. Dashti , A. Beheshti , A. Dehzangi , H.R. Rabiee and H. Alinejad-Rokny

2021

MDPI

Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer
H. Dashti , I. Dehzangi , M. Bayati , J. Breen , A. Beheshti , N. Lovell , H.R. Rabiee and H. Alinejad-Rokny

2022

BioMed Central

Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types
A. Ghareyazi , A. Kazemi , K. Hamidieh , H. Dashti , M.S. Tahaei , H.R. Rabiee , H. Alinejad-Rokny and I. Dehzangi

2022

Springer