Author

M. Bayati

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

H. Alinejad-Rokny· 2 shared H. R. Rabiee· 2 shared J. Breen· 2 shared A. Dehzangi· 1 shared A. Fortuna· 1 shared A. T. Bahcheli· 1 shared D. Ebrahimi· 1 shared H. Dashti· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCancer Biology

H. Alinejad-Rokny

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Pan-cancer analysis of the ion permeome reveals functional regulators of glioblastoma aggression

A. T. Bahcheli, H.-K. Min, M. Bayati, W. Dong, A. Fortuna, H. Zhao, I. Dzneladze, J. Chan, X. Chen, K. Guevara-Hoyer, P. B. Dirks, X. Huang, J. Reimand

The paper identifies survival-associated ion permeome genes across 29 cancer types and shows their role in glioblastoma aggression through functional experiments.

bioRxiv · Apr 7, 2023Cancer Biology

Somatic point mutations are enriched in long non-coding RNAs with possible regulatory function in breast cancer

N. Rezaie, M. Bayati, M. S. Tahaei, M. Hamidi, S. Khorasani, N. H. Lovell, J. Breen, H. R. Rabiee, H. Alinejad-Rokny

The paper identifies 929 non-coding RNAs significantly mutated in breast cancer and shows their enrichment in regulatory features and interactions with protein-coding gene promoters.

bioRxiv · Jul 19, 2021Cancer Biology

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

H. Dashti, A. Dehzangi, M. Bayati, J. Breen, N. Lovell, D. Ebrahimi, H. R. Rabiee, H. Alinejad-Rokny

This study identifies seven colorectal cancer subtypes by integrating mutated genes and mutational process motifs from ICGC data.

bioRxiv · May 18, 2020 · PreprintCancer Biology