Alexander Franks
Alexander Franks
Department of Statistics and Applied Probability, University of California Santa Barbara
Email verificata su pstat.ucsb.edu - Home page
Titolo
Citata da
Citata da
Anno
Reversible, specific, active aggregates of endogenous proteins assemble upon heat stress
EWJ Wallace, JL Kear-Scott, EV Pilipenko, MH Schwartz, PR Laskowski, ...
Cell 162 (6), 1286-1298, 2015
3062015
Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast
G Csárdi, A Franks, DS Choi, EM Airoldi, DA Drummond
PLoS genetics 11 (5), e1005206, 2015
1542015
Post-transcriptional regulation across human tissues
A Franks, E Airoldi, N Slavov
PLoS computational biology 13 (5), e1005535, 2017
982017
Characterizing the spatial structure of defensive skill in professional basketball
A Franks, A Miller, L Bornn, K Goldsberry
The Annals of Applied Statistics 9 (1), 94-121, 2015
962015
Counterpoints: Advanced defensive metrics for nba basketball
A Franks, A Miller, L Bornn, K Goldsberry
9th Annual MIT Sloan Sports Analytics Conference, Boston, MA, 2015
682015
The companion dog as a model for human aging and mortality
JM Hoffman, KE Creevy, A Franks, DG O'Neill, DEL Promislow
Aging Cell 17 (3), e12737, 2018
632018
Flexible sensitivity analysis for observational studies without observable implications
AM Franks, A D’Amour, A Feller
Journal of the American Statistical Association, 2019
462019
A mixture-of-modelers approach to forecasting NCAA tournament outcomes
LH Yuan, A Liu, A Yeh, A Kaufman, A Reece, P Bull, A Franks, S Wang, ...
Journal of Quantitative Analysis in Sports 11 (1), 13-27, 2015
272015
DART-ID increases single-cell proteome coverage
AT Chen, A Franks, N Slavov
PLoS computational biology 15 (7), e1007082, 2019
232019
Meta-analytics: tools for understanding the statistical properties of sports metrics
AM Franks, A D’Amour, D Cervone, L Bornn
Journal of Quantitative Analysis in Sports 12 (4), 151-165, 2016
232016
Shared Subspace Models for Multi-Group Covariance Estimation.
AM Franks, P Hoff
J. Mach. Learn. Res. 20, 171:1-171:37, 2019
122019
Estimating a structured covariance matrix from multilab measurements in high-throughput biology
AM Franks, G Csárdi, DA Drummond, EM Airoldi
Journal of the American Statistical Association 110 (509), 27-44, 2015
122015
Non-standard conditionally specified models for non-ignorable missing data
AM Franks, EM Airoldi, DB Rubin
arXiv preprint arXiv:1603.06045, 2016
11*2016
Modeling player and team performance in basketball
Z Terner, A Franks
Annual Review of Statistics and Its Application 8, 1-23, 2021
92021
Studying basketball through the lens of player tracking data
L Bornn, D Cervone, A Franks, A Miller
Handbook of statistical methods and analyses in sports, 261-286, 2017
52017
A Solution to the Challenge of Optimization on''Golf-Course''-Like Fitness Landscapes
HPM Melo, A Franks, AA Moreira, D Diermeier, JS Andrade Jr, ...
PloS one 8 (11), e78401, 2013
32013
Refining cellular pathway models using an ensemble of heterogeneous data sources
AM Franks, F Markowetz, EM Airoldi
The Annals of Applied Statistics 12 (3), 1361-1384, 2018
1*2018
A Metabolomic Aging Clock Using Human Cerebrospinal Fluid
N Hwangbo, X Zhang, D Raftery, H Gu, SC Hu, TJ Montine, JF Quinn, ...
The Journals of Gerontology: Series A, 2021
2021
A metabolomic aging clock using human CSF.
N Hwangbo, X Zhang, D Raftery, H Gu, SC Hu, TJ Montine, JF Quinn, ...
The Journals of gerontology. Series A, Biological Sciences and Medical Sciences, 2021
2021
Testing the adaptive value of sporulation in budding yeast using experimental evolution
KM Thomasson, A Franks, H Teotónio, SR Proulx
Evolution, 2021
2021
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
Articoli 1–20