Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Caroline C McGrouther"'
Autor:
Aaditya V Rangan, Caroline C McGrouther, Nivedita Bhadra, Stephanie Venn-Watson, Eric D Jensen, Nicholas J Schork
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 2, p e1010890 (2023)
Causal interactions and correlations between clinically-relevant biomarkers are important to understand, both for informing potential medical interventions as well as predicting the likely health trajectory of any individual as they age. These intera
Externí odkaz:
https://doaj.org/article/6ebbf01916be435e8fbcb87976c9b50c
Autor:
Aaditya V Rangan, Caroline C McGrouther, John Kelsoe, Nicholas Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Jureus, Mikael Landen, Bipolar Disorders Working Group of the Psychiatric Genomics Consortium
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 5, p e1006105 (2018)
A common goal in data-analysis is to sift through a large data-matrix and detect any significant submatrices (i.e., biclusters) that have a low numerical rank. We present a simple algorithm for tackling this biclustering problem. Our algorithm accumu
Externí odkaz:
https://doaj.org/article/3516fd8d65ac40969c8cda7731788d4e
Autor:
Aaditya V. Rangan, Caroline C. McGrouther, Nivedita Bhadra, Stephanie Venn-Watson, Eric D. Jensen, Nicholas J. Schork
1AbstractCausal interactions and correlations between clinically-relevant biomarkers are important to understand, both for informing potential medical interventions as well as predicting the likely health trajectory of any individual as they age. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9841b64774f82ded9c3ee5e495c9831c
https://doi.org/10.1101/2022.06.28.497095
https://doi.org/10.1101/2022.06.28.497095
Autor:
Seda Bilaloglu, Vicky Yao, Caroline C. McGrouther, Aaditya V. Rangan, Eli A. Stahl, Mikael Landén, Sarah E. Bergen, Preeti Raghavan, Anders Juréus, Olga G. Troyanskaya, Qian Zhu, Arjun Krishnan, John R. Kelsoe, Nicholas J. Schork
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 5, p e1006105 (2018)
A common goal in data-analysis is to sift through a large data-matrix and detect any significant submatrices (i.e., biclusters) that have a low numerical rank. We present a simple algorithm for tackling this biclustering problem. Our algorithm accumu
Autor:
Andrew F. Leuchter, Melinda Morgan, David J. DeBrota, Ian A. Cook, Caroline C. McGrouther, Barbara Siegman, Aimee M. Hunter, William Z. Potter, Michelle Abrams
Publikováno v:
Clinical EEG and neuroscience. 39(4)
Previous research has demonstrated neurophysiologic effects of antidepressants in depressed subjects. We evaluated neurophysiologic effects of venlafaxine in normal subjects. Healthy adults (n=32) received a 1-week placebo lead-in followed by 4 weeks