Zobrazeno 1 - 7
of 7
pro vyhledávání: '"J Bailey Vaselkiv"'
Autor:
Konrad H Stopsack, Svitlana Tyekucheva, Molin Wang, Travis A Gerke, J Bailey Vaselkiv, Kathryn L Penney, Philip W Kantoff, Stephen P Finn, Michelangelo Fiorentino, Massimo Loda, Tamara L Lotan, Giovanni Parmigiani, Lorelei A Mucci
Publikováno v:
eLife, Vol 10 (2021)
Tissue microarrays (TMAs) have been used in thousands of cancer biomarker studies. To what extent batch effects, measurement error in biomarker levels between slides, affects TMA-based studies has not been assessed systematically. We evaluated 20 pro
Externí odkaz:
https://doaj.org/article/5d3559e372204133ba3415106d7b03ea
Autor:
Konrad H. Stopsack, Xiaofeng A. Su, J. Bailey Vaselkiv, Rebecca E. Graff, Ericka M. Ebot, Andreas Pettersson, Rosina T. Lis, Michelangelo Fiorentino, Massimo Loda, Kathryn L. Penney, Tamara L. Lotan, Lorelei A. Mucci
Publikováno v:
Mol Cancer Res
The most common somatic event in primary prostate cancer is a fusion between the androgen-related TMPRSS2 gene and the ERG oncogene. Tumors with these fusions, which occur early in carcinogenesis, have a distinctive etiology. A smaller subset of othe
Autor:
Hari Iyer, J. Bailey Vaselkiv, Konrad Stopsack, Yiwen Zhang, Kathryn L. Penney, Steven Balk, Michelangelo Fiorentino, Jaime E. Hart, Peter James, Immaculata De Vivo, Lorelei Mucci, Francine Laden, Timothy R. Rebbeck
Publikováno v:
ISEE Conference Abstracts. 2022
Autor:
Konrad H Stopsack, Svitlana Tyekucheva, Molin Wang, Travis A Gerke, J Bailey Vaselkiv, Kathryn L Penney, Philip W Kantoff, Stephen P Finn, Michelangelo Fiorentino, Massimo Loda, Tamara L Lotan, Giovanni Parmigiani, Lorelei A Mucci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e33f7d3662837f3309dd8cd62dda5e1
https://doi.org/10.7554/elife.71265.sa2
https://doi.org/10.7554/elife.71265.sa2
Autor:
Konrad H. Stopsack, Daniela Correia Salles, J. Bailey Vaselkiv, Sydney T. Grob, Lorelei A. Mucci, Tamara L. Lotan
Publikováno v:
European urology oncology.
Autor:
Molin Wang, J. Bailey Vaselkiv, Tamara L. Lotan, Philip W. Kantoff, Stephen P. Finn, Massimo Loda, Kathryn L. Penney, Lorelei A. Mucci, Travis Gerke, Giovanni Parmigiani, Konrad H. Stopsack, Svitlana Tyekucheva, Michelangelo Fiorentino
Tissue microarrays (TMAs) have been used in thousands of cancer biomarker studies. To what extent batch effects, measurement error in biomarker levels between slides, affects TMA-based studies has not been assessed systematically. We evaluated 20 pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71ac1ac363add530f34ebc7f398b1dd5
https://doi.org/10.1101/2021.06.29.450369
https://doi.org/10.1101/2021.06.29.450369
Autor:
Svitlana Tyekucheva, Philip W. Kantoff, Konrad H. Stopsack, Giovanni Parmigiani, Michelangelo Fiorentino, Stephen P. Finn, Travis Gerke, Kathryn L. Penney, Lorelei A. Mucci, J. Bailey Vaselkiv, Massimo Loda, Molin Wang
Publikováno v:
Cancer Research. 81:893-893
Introduction: Tissue microarrays (TMAs) have been used in thousands of cancer biomarker studies. It is unknown to what extent TMAs are affected by batch effects, i.e., measurement error in biomarker levels between batches (slides from TMAs), what imp