Robust and efficient identification of biomarkers from RNA-Seq data using median control chart. - Md Shahjaman; Habiba Akter; Md. Mamunur Rashid; Md. Ibnul Asifuzzaman; Md. Bipul Hossen; Md. Rezanur Rahman (F1000Research, 2019)

Improved identification of core biomarkers and drug repositioning for ovarian cancer: an integrated bioinformatics approach. - Md Shahjaman; Fatema Tuz Zohora; Tania Islam; Sukanta Das; Md. Rezanur Rahman (Netw. Model. Anal. Health Informatics Bioinform., 2020)

Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19. - Md Rabiul Auwul; Md. Rezanur Rahman; Esra Gov; Md Shahjaman; Mohammad Ali Moni (Briefings Bioinform., 2021)

Discovering common pathogenetic processes between COVID-19 and diabetes mellitus by differential gene expression pattern analysis. - Md. Rezanur Rahman; Tania Islam; Md Shahjaman; Md. Rafiqul Islam; Salvo Danilo Lombardo; Placido Bramanti; Rosella Ciurleo; Alessia Bramanti; Andrey Tchorbanov; Francesco Fisicaro; Paolo Fagone; Ferdinando Nicoletti; et al. (Briefings Bioinform., 2021)

rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data. - Md Shahjaman; Md. Rezanur Rahman; Tania Islam; Md Rabiul Auwul; Mohammad Ali Moni; Md. Nurul Haque Mollah (Comput. Biol. Medicine, 2021)

Application of bioinformatic tools in cell type classification for single-cell RNA-seq data. - Shah Tania Akter Sujana; Md Shahjaman; Atul Chandra Singha (Comput. Biol. Chem., 2025)