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of 41
pro vyhledávání: '"Ghareyazi A"'
Autor:
Yahyazadeh Hossein, Mafi Ahmad Rezazadeh, Beheshti Marzieh, Ghareyazi Amin, Abdollahinejad Azita, Tahbaz Sahel Valadan
Publikováno v:
Forum of Clinical Oncology, Vol 13, Iss 1, Pp 9-14 (2023)
The presence of lymph node metastasis is one of the most important prognostic factors for long-term survival of patients with colorectal cancer. Therefore, thorough pathologic examination of at least 12 lymph nodes is essential for accurate staging o
Externí odkaz:
https://doaj.org/article/a69638ae9d814260b87e50278df11434
Motivation: Drug repurposing is a viable solution for reducing the time and cost associated with drug development. However, thus far, the proposed drug repurposing approaches still need to meet expectations. Therefore, it is crucial to offer a system
Externí odkaz:
http://arxiv.org/abs/2405.08031
The protein-ligand binding affinity (PLA) prediction goal is to predict whether or not the ligand could bind to a protein sequence. Recently, in PLA prediction, deep learning has received much attention. Two steps are involved in deep learning-based
Externí odkaz:
http://arxiv.org/abs/2405.07452
Autor:
Mohammadzadeh-Vardin, Taha1 (AUTHOR), Ghareyazi, Amin1 (AUTHOR), Gharizadeh, Ali1 (AUTHOR), Abbasi, Karim1,2 (AUTHOR) karim.abbasi@ut.ac.ir, Rabiee, Hamid R.1 (AUTHOR) karim.abbasi@ut.ac.ir
Publikováno v:
PLoS ONE. 7/26/2024, Vol. 19 Issue 7, p1-18. 18p.
Autor:
Amin Ghareyazi, Amirreza Kazemi, Kimia Hamidieh, Hamed Dashti, Maedeh Sadat Tahaei, Hamid R. Rabiee, Hamid Alinejad-Rokny, Iman Dehzangi
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Background The advent of high throughput sequencing has enabled researchers to systematically evaluate the genetic variations in cancer, identifying many cancer-associated genes. Although cancers in the same tissue are widely categorized in
Externí odkaz:
https://doaj.org/article/c71f036df464483bafb873ebb63bed3d
Autor:
Ghareyazi, Amin1 (AUTHOR), Kazemi, Amirreza1,2 (AUTHOR), Hamidieh, Kimia3 (AUTHOR), Dashti, Hamed1 (AUTHOR), Tahaei, Maedeh Sadat1 (AUTHOR), Rabiee, Hamid R.1 (AUTHOR) rabiee@sharif.edu, Alinejad-Rokny, Hamid4,5,6 (AUTHOR), Dehzangi, Iman7,8 (AUTHOR) i.dehzangi@rutgers.edu
Publikováno v:
BMC Bioinformatics. 7/25/2022, Vol. 23 Issue 1, p1-21. 21p.
Publikováno v:
Journal of Plant Molecular Breeding, Vol 1, Iss 1, Pp 34-42 (2012)
A significant portion of the world’s cultivated land is affected by salinity that reduces crop productivity in these areas. Breeding for salt tolerance is one of the important strategies to overcome this problem. Recently, genetic engineering is be
Externí odkaz:
https://doaj.org/article/21c201a8493340579d6a88b1bbeee0b7
Autor:
Ghareyazi, Amin, Kazemi, Amirreza, Hamidieh, Kimia, Dashti, Hamed, Tahaei, Maedeh Sadat, Rabiee, Hamid R., Alinejad-Rokny, Hamid, Dehzangi, Iman
Additional file 2: Fig. S1. Evaluation plots for finding optimal number of signatures. Fig. S2. Mutational load of feature genes in each cancer type. Fraction of samples that have mutated in each 684 candidate genes for all cancer types separately. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25c6d7ae8a71f5b4dc5466c98293557f
Autor:
Amin Ghareyazi, Amirreza Kazemi, Kimia Hamidieh, Hamed Dashti, Maedeh Sadat Tahaei, Hamid R. Rabiee, Hamid Alinejad-Rokny, Iman Dehzangi
Background The advent of high throughput sequencing has enabled researchers to systematically evaluate the genetic variations in cancer, identifying many cancer-associated genes. Although cancers in the same tissue are widely categorized in the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d288f1fb08c116f312f0a56951f743d1
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