Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Ernst C. Wit"'
Publikováno v:
Clocks & Sleep, Vol 6, Iss 3, Pp 359-388 (2024)
We present the Gaussian Mixture Periodicity Detection Algorithm (GMPDA), a novel method for detecting periodicity in the binary time series of event onsets. The GMPDA addresses the periodicity detection problem by inferring parameters of a generative
Externí odkaz:
https://doaj.org/article/659e3dbf38614e6ca11b949f415ad511
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)
Abstract Background Mathematical models of haematopoiesis can provide insights on abnormal cell expansions (clonal dominance), and in turn can guide safety monitoring in gene therapy clinical applications. Clonal tracking is a recent high-throughput
Externí odkaz:
https://doaj.org/article/f20b5c518eb84fb080b82319e37b4cf2
Publikováno v:
Journal of Statistical Software, Vol 105, Pp 1-58 (2023)
Sparse graphical models have revolutionized multivariate inference. With the advent of high-dimensional multivariate data in many applied fields, these methods are able to detect a much lower-dimensional structure, often represented via a sparse cond
Externí odkaz:
https://doaj.org/article/c0828f7e1f33479d95762d33da3f28b9
Publikováno v:
PLoS ONE, Vol 18, Iss 3 (2023)
The citation network of patents citing prior art arises from the legal obligation of patent applicants to properly disclose their invention. One way to study the relationship between current patents and their antecedents is by analyzing the similarit
Externí odkaz:
https://doaj.org/article/5b2a8e4ca1fe45c18e68dac78bd22600
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-26 (2019)
Abstract Background During their lifespan, stem- or progenitor cells have the ability to differentiate into more committed cell lineages. Understanding this process can be key in treating certain diseases. However, up until now only limited informati
Externí odkaz:
https://doaj.org/article/50d0f42449524512b7c4f8691d42e93e
Autor:
Reza Mohammadi, Ernst C. Wit
Publikováno v:
Journal of Statistical Software, Vol 89, Iss 1, Pp 1-30 (2019)
Graphical models provide powerful tools to uncover complicated patterns in multivariate data and are commonly used in Bayesian statistics and machine learning. In this paper, we introduce the R package BDgraph which performs Bayesian structure learni
Externí odkaz:
https://doaj.org/article/cc65e068e4ca4807ad407eb811b5b243
Publikováno v:
Journal of Statistical Software, Vol 59, Iss 1, Pp 1-40 (2014)
dglars is a publicly available R package that implements the method proposed in Augugliaro, Mineo, and Wit (2013), developed to study the sparse structure of a generalized linear model. This method, called dgLARS, is based on a differential geometric
Externí odkaz:
https://doaj.org/article/075e73fc6aa0478cbcf12e9fce3dd16b
Autor:
Karin A. Oien, W. Nicol Keith, Christopher Bellamy, Caroline Verbeke, Jacqueline Mooney, Ian Downie, Alexandra K. Bell, Jan Komorowski, Ernst C. Wit, Torgeir R. Hvidsten, Jayne L. Dennis
Purpose: Patients with metastatic adenocarcinoma of unknown origin are a common clinical problem. Knowledge of the primary site is important for their management, but histologically, such tumors appear similar. Better diagnostic markers are needed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06c64dd357e19c88804d6b69181e4539
https://doi.org/10.1158/1078-0432.c.6518334
https://doi.org/10.1158/1078-0432.c.6518334
Autor:
Karin A. Oien, W. Nicol Keith, Christopher Bellamy, Caroline Verbeke, Jacqueline Mooney, Ian Downie, Alexandra K. Bell, Jan Komorowski, Ernst C. Wit, Torgeir R. Hvidsten, Jayne L. Dennis
Supplementary Figure 1 from Markers of Adenocarcinoma Characteristic of the Site of Origin: Development of a Diagnostic Algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1de19d5d79aa75d79f4c437fc0d672b
https://doi.org/10.1158/1078-0432.22441206
https://doi.org/10.1158/1078-0432.22441206
Autor:
Karin A. Oien, W. Nicol Keith, Christopher Bellamy, Caroline Verbeke, Jacqueline Mooney, Ian Downie, Alexandra K. Bell, Jan Komorowski, Ernst C. Wit, Torgeir R. Hvidsten, Jayne L. Dennis
Supplementary Table 1 from Markers of Adenocarcinoma Characteristic of the Site of Origin: Development of a Diagnostic Algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3890fda40d3f774ca25a1961dca10b4b
https://doi.org/10.1158/1078-0432.22441203
https://doi.org/10.1158/1078-0432.22441203