| Issue Date | Title | Author(s) |
| 2021 | Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data. | Hou, L; Liu, Q; Nebhen, J; Uddin, M; Ullah, M; Khan, NU |
| 2021-07-19 | Hamming-shifting graph of genomic short reads: Efficient construction and its application for compression | Liu, Y; Li, J |
| 2021-09 | Optima TB: A tool to help optimally allocate tuberculosis spending. | Goscé, L; Abou Jaoude, GJ; Kedziora, DJ; Benedikt, C; Hussain, A; Jarvis, S; Skrahina, A; Klimuk, D; Hurevich, H; Zhao, F; Fraser-Hurt, N; Cheikh, N; Gorgens, M; Wilson, DJ; Abeysuriya, R; Martin-Hughes, R; Kelly, SL; Roberts, A; Stuart, RM; Palmer, T; Panovska-Griffiths, J; Kerr, CC; Wilson, DP; Haghparast-Bidgoli, H; Skordis, J; Abubakar, I |
| 2021-09 | Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. | Islam, MB; Chowdhury, UN; Nain, Z; Uddin, S; Ahmed, MB; Moni, MA |
| 2018-11-15 | Clinically Relevant Cytotoxic Immune Cell Signatures and Clonal Expansion of T-Cell Receptors in High-Risk MYCN-Not-Amplified Human Neuroblastoma. | Wei, JS; Kuznetsov, IB; Zhang, S; Song, YK; Asgharzadeh, S; Sindiri, S; Wen, X; Patidar, R; Najaraj, S; Walton, A; Auvil, JMG; Gerhard, DS; Yuksel, A; Catchpoole, D; Hewitt, SM; Sondel, PM; Seeger, R; Maris, JM; Khan, J |
| 2020-02-17 | Machine Learning and Bioinformatics Models to Identify Pathways that Mediate Influences of Welding Fumes on Cancer Progression. | Rana, HK; Akhtar, MR; Islam, MB; Ahmed, MB; Lió, P; Huq, F; Quinn, JMW; Moni, MA |
| 2010-09-13 | Discovering conditional co-regulated protein complexes by integrating diverse data sources | Luo, F; Liu, J; Li, J |
| 2018-08-01 | Imbalance learning for the prediction of N<sup>6</sup>-Methylation sites in mRNAs | Zhao, Z; Peng, H; Lan, C; Zheng, Y; Fang, L; Li, J |
| 2016-06-01 | Ensemble feature learning of genomic data using support vector machine | Anaissi, A; Goyal, M; Catchpoole, DR; Braytee, A; Kennedy, PJ |
| 2021-01-01 | Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions. | Chen, H; Li, F; Wang, L; Jin, Y; Chi, C-H; Kurgan, L; Song, J; Shen, J |
