Zobrazeno 1 - 10
of 551
pro vyhledávání: '"Lussier, Yves A"'
Exposome is a critical dimension in the precision medicine paradigm. Effective representation of exposomics knowledge is instrumental to melding nongenetic factors into data analytics for clinical research. There is still limited work in (1) modeling
Externí odkaz:
http://hdl.handle.net/10150/625835
http://arizona.openrepository.com/arizona/handle/10150/625835
http://arizona.openrepository.com/arizona/handle/10150/625835
Autor:
Li, Qike, Schissler, A. Grant, Gardeux, Vincent, Achour, Ikbel, Kenost, Colleen, Berghout, Joanne, Li, Haiquan, Zhang, Hao Helen, Lussier, Yves A.
Background: Transcriptome analytic tools are commonly used across patient cohorts to develop drugs and predict clinical outcomes. However, as precision medicine pursues more accurate and individualized treatment decisions, these methods are not desig
Externí odkaz:
http://hdl.handle.net/10150/625841
http://arizona.openrepository.com/arizona/handle/10150/625841
http://arizona.openrepository.com/arizona/handle/10150/625841
Autor:
Schissler, A Grant, Li, Qike, Chen, James L, Kenost, Colleen, Achour, Ikbel, Billheimer, D Dean, Li, Haiquan, Piegorsch, Walter W, Lussier, Yves A
As 'omics' biotechnologies accelerate the capability to contrast a myriad of molecular measurements from a single cell, they also exacerbate current analytical limitations for detecting meaningful single-cell dysregulations. Moreover, mRNA expression
Externí odkaz:
http://hdl.handle.net/10150/620927
http://arizona.openrepository.com/arizona/handle/10150/620927
http://arizona.openrepository.com/arizona/handle/10150/620927
Autor:
Huang, Yong, Ma, Shwu-Fan, Vij, Rekha, Oldham, Justin M., Herazo-Maya, Jose, Broderick, Steven M., Strek, Mary E., White, Steven R., Hogarth, D. Kyle, Sandbo, Nathan K., Lussier, Yves A., Gibson, Kevin F., Kaminski, Naftali, Garcia, Joe G.N., Noth, Imre
BACKGROUND: The course of disease for patients with idiopathic pulmonary fibrosis (IPF) is highly heterogeneous. Prognostic models rely on demographic and clinical characteristics and are not reproducible. Integrating data from genomic analyses may i
Externí odkaz:
http://hdl.handle.net/10150/610303
http://arizona.openrepository.com/arizona/handle/10150/610303
http://arizona.openrepository.com/arizona/handle/10150/610303
Autor:
Schissler, Grant A., Li, Qike, Gardeux, Vincent, Achour, Ikbel, Li, Haiquan, Piegorsch, Walter W., Lussier, Yves A.
Poster exhibited at GPSC Student Showcase, February 24th, 2016, University of Arizona.
Motivation: The conventional approach to personalized medicine relies on molecular data analytics across multiple patients. The path to precision medicine lie
Motivation: The conventional approach to personalized medicine relies on molecular data analytics across multiple patients. The path to precision medicine lie
Externí odkaz:
http://hdl.handle.net/10150/603628
http://arizona.openrepository.com/arizona/handle/10150/603628
http://arizona.openrepository.com/arizona/handle/10150/603628
Autor:
Chang, Eugene H., Pouladi, Nima, Guerra, Stefano, Jandova, Jana, Kim, Alexander, Li, Haiquan, Li, Jianrong, Morgan, Wayne, Stern, Debra A., Willis, Amanda L., Lussier, Yves A., Martinez, Fernando D.
Publikováno v:
In The Journal of Allergy and Clinical Immunology September 2022 150(3):604-611
Autor:
Casanova, Nancy G., Zhou, Tong, Gonzalez-Garay, Manuel L., Lussier, Yves A., Sweiss, Nadera, Ma, Shwu-Fan, Noth, Imre, Knox, Kenneth S., Garcia, Joe G.N.
Publikováno v:
In Translational Research February 2021 228:1-12
Autor:
Gamazon, Eric R., Im, Hae-Kyung, Duan, Shiwei, Lussier, Yves A., Cox, Nancy J., Dolan, M. Eileen, Zhang, Wei
Publikováno v:
Gamazon ER, Im H-K, Duan S, Lussier YA, Cox NJ, Dolan ME, Zhang W. ExprTarget: An integrative approach to predicting human microRNA targets. PLoS ONE. 2010; 5(10): e13534
We developed an online database, ExprTargetDB, of human miRNA targets predicted by an approach that integrates gene expression profiling into a broader framework involving important features of miRNA target site predictions.
Externí odkaz:
http://arxiv.org/abs/1308.1865
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Boyd, Andrew D., Dunn Lopez, Karen, Lugaresi, Camillo, Macieira, Tamara, Sousa, Vanessa, Acharya, Sabita, Balasubramanian, Abhinaya, Roussi, Khawllah, Keenan, Gail M., Lussier, Yves A., Li, Jianrong ‘John’, Burton, Michel, Di Eugenio, Barbara
Publikováno v:
In International Journal of Medical Informatics May 2018 113:63-71