Publications

M. Moussa

Book Chapters:


M. Moussa and S. Demurjian, Differential Privacy Approach for Big Data Privacy in Healthcare, In S. Tamane, Privacy and Security Policies in Big Data, IGI Global, 2017, pdf preprint, publisher url, bibtex

Journal Articles:


J.T. Nevin and M. Moussa and W,L. Corwin and I.I. Mandoiu and P.K. Srivastava, Sympathetic nervous tone limits the development of myeloid-derived suppressor cells, Science Immunology 5, pp. eaay9368, 2020, publisher url, bibtex

M. Moussa and I.I. Mandoiu, Locality Sensitive Imputation for Single-Cell RNA-Seq Data, Journal of Computational Biology 26, pp. 822-835, 2019, publisher url, bibtex

M. Moussa and I.I. Mandoiu, Single cell RNA-seq data clustering using TF-IDF based methods, BMC Genomics 19(Suppl 6):569, 2018, publisher url, bibtex

Conference Articles:


M. Moussa and I.I. Mandoiu, SC1: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis, Proc. 16th International Symposium on Bioinformatics Research and Applications, pp. 389–397, 2020, pdf preprint, publisher url, bibtex

M. Moussa and I.I. Mandoiu, Locality Sensitive Imputation for Single-Cell RNA-Seq Data, Proc. 14th International Symposium on Bioinformatics Research and Applications, pp. 347-360, 2018, pdf preprint, publisher url, ppt, bibtex

M. Moussa and M. Maynard, iClass: Combining Multiple Multi-label Classification with Expert Knowledge, 14th IEEE International Conference on Machine Learning and Applications, pp. 843-848, 2015, publisher url, bibtex

M. Moussa and M. Maynard, iClass - Applying Multiple Multi-Class Machine Learning Classifiers Combined With Expert Knowledge to Roper Center Survey Data, Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, pp. 221-229, 2015, publisher url, bibtex

Technical Reports:


M. Moussa and I.I. Mandoiu, Locality Sensitive Imputation for Single-Cell RNA-Seq Data, Cold Spring Harbor Laboratory bioRxiv preprint, , 2018, url, bibtex

Ph.D. Thesis:


M. Moussa, Computational Methods for the Analysis of Single-Cell RNA-Seq Data, University of Connecticut, Storrs, CT, April, 2019, url, ppt, bibtex