Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Gabriela V. Cohen Freue"'
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2426
Adaptive PENSE is a method that can be used to build models for predicting clinical outcomes from a small subset of a potentially large number of candidate proteins. Adaptive PENSE is designed to give reliable results under two common challenges ofte
Autor:
David Kepplinger, Mandeep Takhar, Mayu Sasaki, Zsuzsanna Hollander, Derek Smith, Bruce McManus, W Robert McMaster, Raymond T Ng, Gabriela V Cohen Freue
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0177569 (2017)
The quantitation of proteins using shotgun proteomics has gained popularity in the last decades, simplifying sample handling procedures, removing extensive protein separation steps and achieving a relatively high throughput readout. The process start
Externí odkaz:
https://doaj.org/article/71bcec8c27484104afa466ea464ed7ac
The impact of methodological choices when developing predictive models using urinary metabolite data
Publikováno v:
Statistics in medicineREFERENCES. 41(18)
The continuous evolution of metabolomics over the past two decades has stimulated the search for metabolic biomarkers of many diseases. Metabolomic data measured from urinary samples can provide rich information of the biological events triggered by
Publikováno v:
Methods in Molecular Biology ISBN: 9781071619667
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::329491e0abd5c9804447583ac93080c5
https://doi.org/10.1007/978-1-0716-1967-4_14
https://doi.org/10.1007/978-1-0716-1967-4_14
Autor:
Igor Burstyn, Xin Zhao, Alexandre Bouchard-Côté, Paul Gustafson, Hao Luo, Gabriela V. Cohen Freue
Publikováno v:
Canadian Journal of Statistics. 47:473-486
ENTHIS LINK GOES TO A ENGLISH SECTIONFRTHIS LINK GOES TO A FRENCH SECTION We study the benefit of exploiting the gene–environment independence (GEI) assumption for inferring the joint effect of genotype and environmental exposure on disease risk in
Autor:
Gabriela V Cohen Freue, Anna Meredith, Derek Smith, Axel Bergman, Mayu Sasaki, Karen K Y Lam, Zsuzsanna Hollander, Nina Opushneva, Mandeep Takhar, David Lin, Janet Wilson-McManus, Robert Balshaw, Paul A Keown, Christoph H Borchers, Bruce McManus, Raymond T Ng, W Robert McMaster, Biomarkers in Transplantation and the NCE CECR Prevention of Organ Failure Centre of Excellence Teams
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 4, p e1002963 (2013)
Recent technical advances in the field of quantitative proteomics have stimulated a large number of biomarker discovery studies of various diseases, providing avenues for new treatments and diagnostics. However, inherent challenges have limited the s
Externí odkaz:
https://doaj.org/article/6bda563f480e4d239955d6a664541f26
Autor:
Arjun Baghela, Olga M. Pena, Amy H. Lee, Beverlie Baquir, Reza Falsafi, Andy An, Susan W. Farmer, Andrew Hurlburt, Alvaro Mondragon-Cardona, Juan Diego Rivera, Andrew Baker, Uriel Trahtemberg, Maryam Shojaei, Carlos Eduardo Jimenez-Canizales, Claudia C. dos Santos, Benjamin Tang, Hjalmar R. Bouma, Gabriela V. Cohen Freue, Robert E.W. Hancock
Publikováno v:
EBioMedicine
EBioMedicine, 75:103776. ELSEVIER SCIENCE BV
EBioMedicine, 75:103776. ELSEVIER SCIENCE BV
Background Inter-individual variability during sepsis limits appropriate triage of patients. Identifying, at first clini-cal presentation, gene expression signatures that predict subsequent severity will allow clinicians to identify the most at-risk
Publikováno v:
Ann. Appl. Stat. 13, no. 4 (2019), 2065-2090
In large-scale quantitative proteomic studies, scientists measure the abundance of thousands of proteins from the human proteome in search of novel biomarkers for a given disease. Penalized regression estimators can be used to identify potential biom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a4c624a451e79bff6c3614b99c7f673
https://projecteuclid.org/euclid.aoas/1574910036
https://projecteuclid.org/euclid.aoas/1574910036
Autor:
Daisuke Ennishi, Robert S. Molday, Robert Kridel, Graham W. Slack, Barbara Meissner, Allen W. Zhang, Christoffer Hother, Laurie L. Molday, Joseph M. Connors, Ali Bashashati, Libin Abraham, Nancy Dos Santos, Adele Telenius, Saeed Saberi, Michael Y. Li, Michael R. Gold, Andrew J. Mungall, Randy D. Gascoyne, Pedro Farinha, Daniel Lai, Da Wei Huang, Marco A. Marra, Lauren Chong, Diego Villa, Nicole Wretham, Christian Steidl, Brianna N. Bristow, Fong Chun Chan, Louis M. Staudt, Natasja N. Viller, Christopher Rushton, Alina S. Gerrie, Sohrab P. Shah, Shannon Healy, Elena Viganò, Sara Mostafavi, Abigail Baticados, Ryan D. Morin, Derek S. Chiu, Gerben Duns, Anja Mottok, Susana Ben-Neriah, Gabriela V. Cohen Freue, Sohrab Salehi, David Scott, Katsuyoshi Takata, Merrill Boyle, Kerry J. Savage, Bruce Woolcock, Laurie H. Sehn, Angel Madero, Robert A. Uger, Hennady P. Shulha, Andrew P. Weng, Marcel B. Bally, Mark Wong, Tomohiro Aoki
Publikováno v:
Nat Med
Transmembrane protein 30A (TMEM30A) maintains the asymmetric distribution of phosphatidylserine, an integral component of the cell membrane and ‘eat-me’ signal recognized by macrophages. Integrative genomic and transcriptomic analysis of diffuse
Autor:
Anita I. Kapanen, Darlene L.Y. Dai, Tariq Aziz, Zsuzsanna Hollander, Joel Oger, Helen Tremlett, Scott J. Tebbutt, Janet Wilson-McManus, Christoph H. Borchers, Gabriela V. Cohen Freue
Publikováno v:
Journal of Proteomics. 118:2-11
Multiple sclerosis (MS) is associated with chronic degeneration of the central nervous system and may cause permanent neurological problems and considerable disability. While its causes remain unclear, its extensive phenotypic variability makes its p