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51.	F. Ahmadi Moughari and C. Eslahchi, A computational method for drug sensitivity prediction of cancer cell lines based on various molecular information, Plos One 16(2021), [abstract] DOI: https://doi.org/10.1371/journal.pone.0250620

52.	F. Yassayee and C. Eslahchi, Predicting Anti-Cancer Drug Response by Finding Optimal Subset of Drugs, Bioinformatics (to appear) [abstract]

53.	S. Vafadar, M. Shahdoust, A. Kalirad, P. Zakeri and M. Sadeghi, Competitive exclusion during co-infection as a strategy to prevent the spread of a virus: A computational perspective, Plos One (2021), [abstract] DOI: https://doi.org/10.1371/journal.pone.0247200

54.	A. Pariz, I. Fischer, A. Valizadeh and C. Mirasso, Transmission delays and frequency detuning can regulate information flow between brain regions, PLOS Computational Biology (to appear) [abstract]

55.	M. Habibi, G. Taheri and R. Aghdam, A SARS-CoV-2 (COVID-19) biological network to find targets for drug repurposing, Scientific Reports 11(2021), 1-15 [abstract] DOI: https://doi.org/10.1038/s41598-021-88427-w ArXiV: https://www.nature.com/articles/s41598-021-88427-w

56.	A. R. Alizad-Rahvar, S. Vafadar, M. Totonchi and M. Sadeghi, False Negative Mitigation in Group Testing for COVID-19 Screening, frontiers in medicine 8(2021), 579 [abstract] DOI: 10.3389/fmed.2021.661277 ArXiV: https://www.frontiersin.org/articles/10.3389/fmed.2021.661277/full

57.	N. Rohani and C. Eslahchi, Classifying Breast Cancer Molecular Subtypes using Deep Clustering Approach, Frontiers in Genetics (to appear) [abstract] DOI: 10.21203/rs.2.19530/v1

58.	N. Rohani, F. Ahmadi Moughari and C. Eslahchi, DisCoVering potential candidates of RNAi-based therapy for COVID-19 using computational methods, PeerJ 10.7717/peerj.10505(2021), [abstract] DOI: 10.7717/peerj.10505

59.	S. H. Mahmoodi, R. Aghdam and C. Eslahchi, An order independent algorithm for inferring gene regulatory network using quantile value for conditional independence tests, Scientific Reports 11(2021), 1-15 [abstract] DOI: https://doi.org/10.1038/s41598-021-87074-5

60.	A. Emdadi and C. Eslahchi, Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model, BMC Bioinformatics (2021), 1-22 [abstract]

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