Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Hamid R Rabiee"'
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307649 (2024)
Cancer treatment has become one of the biggest challenges in the world today. Different treatments are used against cancer; drug-based treatments have shown better results. On the other hand, designing new drugs for cancer is costly and time-consumin
Externí odkaz:
https://doaj.org/article/d55032306aeb47e7b48eb85ecc7a841a
Autor:
Hamid Alinejad-Rokny, Rassa Ghavami Modegh, Hamid R Rabiee, Ehsan Ramezani Sarbandi, Narges Rezaie, Kin Tung Tam, Alistair R R Forrest
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 9, p e1010515 (2022)
[This corrects the article DOI: 10.1371/journal.pcbi.1010241.].
Externí odkaz:
https://doaj.org/article/c4d35f842cf048cbaa7b990224ea9848
Autor:
Hamid Alinejad-Rokny, Rassa Ghavami Modegh, Hamid R Rabiee, Ehsan Ramezani Sarbandi, Narges Rezaie, Kin Tung Tam, Alistair R R Forrest
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1010241 (2022)
Hi-C is a genome-wide chromosome conformation capture technology that detects interactions between pairs of genomic regions and exploits higher order chromatin structures. Conceptually Hi-C data counts interaction frequencies between every position i
Externí odkaz:
https://doaj.org/article/cc2e7ebbff5340fe99223402c124242d
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0277887 (2022)
Deep learning-based graph generation approaches have remarkable capacities for graph data modeling, allowing them to solve a wide range of real-world problems. Making these methods able to consider different conditions during the generation procedure
Externí odkaz:
https://doaj.org/article/f8ed18815b5148ea868fbe4050faea6b
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0244430 (2021)
Understanding the functionality of proteins has emerged as a critical problem in recent years due to significant roles of these macro-molecules in biological mechanisms. However, in-laboratory techniques for protein function prediction are not as eff
Externí odkaz:
https://doaj.org/article/3d20d88b0a2a4db696fb9eec5b972696
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-25 (2024)
Abstract Background Copy number variants (CNVs) have become increasingly instrumental in understanding the etiology of all diseases and phenotypes, including Neurocognitive Disorders (NDs). Among the well-established regions associated with ND are sm
Externí odkaz:
https://doaj.org/article/277eae9c344b49e2b20a0136fae4e8a2
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0197683 (2018)
Social networks are getting closer to our real physical world. People share the exact location and time of their check-ins and are influenced by their friends. Modeling the spatio-temporal behavior of users in social networks is of great importance f
Externí odkaz:
https://doaj.org/article/dc65a91f89084dcfa978a60974188792
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-15 (2022)
Abstract Background Several types of RNA in the cell are usually involved in biological processes with multiple functions. Coding RNAs code for proteins while non-coding RNAs regulate gene expression. Some single-strand RNAs can create a circular sha
Externí odkaz:
https://doaj.org/article/94f8a7bd2fc24b56be63214cf5259b00
Autor:
Narges Rezaie, Masroor Bayati, Mehrab Hamidi, Maedeh Sadat Tahaei, Sadegh Khorasani, Nigel H. Lovell, James Breen, Hamid R. Rabiee, Hamid Alinejad-Rokny
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-13 (2022)
The SomaGene tool is developed to identify non-coding RNAs (ncRNAs) mutated in breast cancer but can be used for other cancers. Candidate ncRNAs are shown to be enriched for regulatory features and to contain specific trait loci polymorphisms.
Externí odkaz:
https://doaj.org/article/97982823a65f415f8a5d8eed4ea50e41
Publikováno v:
International Journal of Architectural Heritage. :1-13