Yves A. Lussier
Affiliations: | University of Arizona College of Medicine |
Website:
https://uahs.arizona.edu/leadership-team/yves-lussier-md-facmiGoogle:
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Casanova NG, Zhou T, Gonzalez-Garay M, et al. (2020) MicroRNA and Protein-Coding Gene Expression Analysis in Idiopathic Pulmonary Fibrosis Yields Novel Biomarker Signatures Associated to Survival. Translational Research : the Journal of Laboratory and Clinical Medicine |
Rachid Zaim S, Kenost C, Berghout J, et al. (2019) Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine. Bmc Medical Genomics. 12: 96 |
Schissler AG, Aberasturi D, Kenost C, et al. (2019) A Single-Subject Method to Detect Pathways Enriched With Alternatively Spliced Genes. Frontiers in Genetics. 10: 414 |
Yang X, Lee Y, Fan H, et al. (2019) Identification of common microRNA-mRNA regulatory biomodules in human epithelial cancers. Chinese Science Bulletin = Kexue Tongbao. 55: 3576-3589 |
Fan JW, Lussier YA. (2017) Word-of-Mouth Innovation: Hypothesis Generation for Supplement Repurposing based on Consumer Reviews. Amia ... Annual Symposium Proceedings. Amia Symposium. 2017: 689-695 |
Vitali F, Li Q, Schissler AG, et al. (2017) Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes. Briefings in Bioinformatics |
Fan JW, Li J, Lussier YA. (2017) Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context. Journal of Healthcare Engineering. 2017: 3818302 |
Zhou T, Casanova N, Pouladi N, et al. (2017) Identification of Jak-STAT signaling involvement in sarcoidosis severity via a novel microRNA-regulated peripheral blood mononuclear cell gene signature. Scientific Reports. 7: 4237 |
Li Q, Schissler AG, Gardeux V, et al. (2017) N-of-1-pathways MixEnrich: advancing precision medicine via single-subject analysis in discovering dynamic changes of transcriptomes. Bmc Medical Genomics. 10: 27 |
Schissler AG, Piegorsch WW, Lussier YA. (2017) Testing for differentially expressed genetic pathways with single-subject N-of-1 data in the presence of inter-gene correlation. Statistical Methods in Medical Research. 962280217712271 |