Zobrazeno 1 - 10
of 41
pro vyhledávání: '"David B. Dahl"'
Autor:
David B. Dahl
Publikováno v:
Journal of Statistical Software, Vol 92, Iss 1, Pp 1-18 (2020)
The rscala software is a simple, two-way bridge between R and Scala that allows users to leverage the unique strengths of both languages in a single project. Scala classes can be instantiated from R and Scala methods can be called. Arbitrary Scala co
Externí odkaz:
https://doaj.org/article/80dbbb1faf4441aa95d2e06bf73ffdbd
Autor:
Scott Crawford, David B. Dahl
Publikováno v:
Journal of Statistical Software, Vol 29, Iss 4 (2008)
RinRuby is a Ruby library that integrates the R interpreter in Ruby, making R's statistical routines and graphics available within Ruby. The library consists of a single Ruby script that is simple to install and does not require any special compilati
Externí odkaz:
https://doaj.org/article/ec272190f2bf4277be6fcbf9948bd066
Autor:
Paul Ahlquist, Bill Sugden, Allan Hildesheim, Chien-Jen Chen, William H. Westra, Yu-Juen Cheng, Meng Chen, David B. Dahl, Michael A. Newton, I-How Chen, Johan A. den Boon, Srikumar Sengupta
Supplementary Tables 1-9 from Genome-Wide Expression Profiling Reveals EBV-Associated Inhibition of MHC Class I Expression in Nasopharyngeal Carcinoma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc0027a390b7930445d75a3be534e46
https://doi.org/10.1158/0008-5472.22364825
https://doi.org/10.1158/0008-5472.22364825
Autor:
Paul Ahlquist, Bill Sugden, Allan Hildesheim, Chien-Jen Chen, William H. Westra, Yu-Juen Cheng, Meng Chen, David B. Dahl, Michael A. Newton, I-How Chen, Johan A. den Boon, Srikumar Sengupta
To identify the molecular mechanisms by which EBV-associated epithelial cancers are maintained, we measured the expression of essentially all human genes and all latent EBV genes in a collection of 31 laser-captured, microdissected nasopharyngeal car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24f21eca5b61e1ab8592fb757ce743f3
https://doi.org/10.1158/0008-5472.c.6494381
https://doi.org/10.1158/0008-5472.c.6494381
Autor:
Paul Ahlquist, Bill Sugden, Allan Hildesheim, Chien-Jen Chen, William H. Westra, Yu-Juen Cheng, Meng Chen, David B. Dahl, Michael A. Newton, I-How Chen, Johan A. den Boon, Srikumar Sengupta
Supplementary Methods from Genome-Wide Expression Profiling Reveals EBV-Associated Inhibition of MHC Class I Expression in Nasopharyngeal Carcinoma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::101a960f1b2c53c64a0f959b67dc4e03
https://doi.org/10.1158/0008-5472.22364828.v1
https://doi.org/10.1158/0008-5472.22364828.v1
Publikováno v:
Journal of Computational and Graphical Statistics. 31:1189-1201
We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. Given the large size and awkward discrete nature of the search space, the minimization of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e1014567dc5ca86fa434d04796a624
https://doi.org/10.1080/10618600.2022.2069779
https://doi.org/10.1080/10618600.2022.2069779
Autor:
Spencer Newcomb, David B. Dahl
Publikováno v:
Journal of Statistical Computation and Simulation. 92:1487-1511
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::826a916c3a6157b227646da7e8ea92bc
https://doi.org/10.1080/00949655.2021.1998502
https://doi.org/10.1080/00949655.2021.1998502
Feature allocation models postulate a sampling distribution whose parameters are derived from shared features. Bayesian models place a prior distribution on the feature allocation, and Markov chain Monte Carlo is typically used for model fitting, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e5e48aa1d8c9387ba5c6101ff134624
We propose the attraction Indian buffet distribution (AIBD), a distribution for binary feature matrices influenced by pairwise similarity information. Binary feature matrices are used in Bayesian models to uncover latent variables (i.e., features) th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5a8f2d07615b85b982bc5a03d44f6bd
http://arxiv.org/abs/2106.05403
http://arxiv.org/abs/2106.05403
Hierarchical and k-medoids clustering are deterministic clustering algorithms based on pairwise distances. Using these same pairwise distances, we propose a novel stochastic clustering method based on random partition distributions. We call our metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf6f0697992d569d138fb64baed6742b
http://arxiv.org/abs/2106.02760
http://arxiv.org/abs/2106.02760