DML
DML Sharif University of Technology

Amin Ghareyazi

Group Bioinformatics and Computational Biology
Entrance 2018

I am a Biostatistician that is fascinated by Machine Learning and Deep Learning and their applications in Omics and biological data (Bioinformatics in general). I have Experience in analysis and modeling of large scale genomics and transcriptomics data and also in design and analysis of clinical trials through working in a pharmaceutical company.I am a Biostatistician that is fascinated by Machine Learning and Deep Learning and their applications in Omics and biological data (Bioinformatics in general). I have Experience in analysis and modeling of large scale genomics and transcriptomics data and also in design and analysis of clinical trials through working in a pharmaceutical company.

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

Sept. 25, 2019, 9 a.m.

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

Jan. 1, 2020, 8 a.m.

DeepDRA: Drug Repurposing using Multi-Omics Data Integration with Autoencoders
T. Mohammadzadeh-Vardin , A. Ghareyazi , A. Gharizadeh , K. Abbasi and H.R. Rabiee

2024

PLOS

HGTDR: Advancing drug repurposing with heterogeneous graph transformers
A. Gharizadeh , K. Abbasi , A. Ghareyazi , M.R. Mofrad and H.R. Rabiee

2024

Oxford

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

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