Author

Atqiya Fariha

Noakhali Science and Technology University

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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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Mahafujul Islam Quadery TonmoyiD· 2 shared Md. Adnan MunimiD· 2 shared Md. Shahadat HossainiD· 2 shared A. Q. M. Sala Uddin PathaniD· 1 shared Adnan MansooriD· 1 shared Akil Abid MerchantiD· 1 shared Alicia GamboaiD· 1 shared Alyssa C. BouskaiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Mahafujul Islam Quadery TonmoyORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Functional genomics and tumor microenvironment analysis reveal prognostic biological subtypes in Mantle cell lymphoma

Sunandini Sharma, Roshia Ali, Alyssa C. Bouska, Dylan T. Jochum, Meghana Kesireddy, Simeon Mahov, Joseph Cornelius Lownik, Weiwei Zhang, Waseem Lone, Mahfuza Afroz Soma, Alicia Gamboa, Vaishnavi Devarakonda, Dalia El‐Gamal, Atqiya Fariha, Adnan Mansoor, , On behalf of the North American Mantle Cell Lymphoma Project (NAMCLP)

The paper identifies prognostic biological subtypes in Mantle cell lymphoma based on genetic and transcriptomic analysis, revealing distinct molecular and immune features associated with different risk groups.

Nature Communications · Nov 5, 2025Peer-reviewedCancer Biology

Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning.

Md. Shahadat Hossain, A. Q. M. Sala Uddin Pathan, Md Nur Islam, Mahafujul Islam Quadery Tonmoy, Mahmudul Islam Rakib, Md. Adnan Munim, Otun Saha, Atqiya Fariha, Hasan Al Reza, Maitreyee Roy, Newaz Mohammed Bahadur, Md. Mizanur Rahaman

This study identifies and predicts SARS-CoV-2 mutations using bioinformatics and deep learning, finding high mutation rates and future trends in mutation types.

Informatics in Medicine Unlocked · Jan 1, 2021Peer-reviewedBioinformatics

Multi-epitope Based Peptide Vaccine Design Using Three Structural Proteins (S, E, and M) of SARS-CoV-2: An In Silico Approach

Arpita Singha Roy, Mahafujul Islam Quadery Tonmoy, Atqiya Fariha, Ithmam Hami, Ibrahim Khalil Afif, Md. Adnan Munim, Mohammad Rahanur Alam, Md. Shahadat Hossain

This study designs a multi-epitope peptide vaccine against SARS-CoV-2 using immunoinformatics tools, identifying three epitopes with high binding affinity and global population coverage.

bioRxiv · Jun 13, 2020 · PreprintBioinformatics