Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Veronica Vinciotti"'
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
Autor:
Inês J. de Castro, James Budzak, Maria L. Di Giacinto, Lorena Ligammari, Ezgi Gokhan, Christos Spanos, Daniela Moralli, Christine Richardson, Jose I. de las Heras, Silvia Salatino, Eric C. Schirmer, Katharine S. Ullman, Wendy A. Bickmore, Catherine Green, Juri Rappsilber, Sarah Lamble, Martin W. Goldberg, Veronica Vinciotti, Paola Vagnarelli
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-16 (2017)
Repo-Man is a chromosome-binding subunit of protein phosphatase 1 to regulate mitosis. Here, de Castro and colleagues show that Repo-Man also regulates heterochromatin during interphase, and regulates gene repression and chromatin organization.
Externí odkaz:
https://doaj.org/article/614dab2625cb407a8fec9084fc97d570
Autor:
Seyed Yahya Anvar, Allan Tucker, Veronica Vinciotti, Andrea Venema, Gert-Jan B. van Ommen, Silvere M. van der Maarel, Vered Raz, Peter A. C. ‘t Hoen
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 11 (2011)
Externí odkaz:
https://doaj.org/article/e8df865b5a0144b692ac790057b21dd0
Autor:
Seyed Yahya Anvar, Allan Tucker, Veronica Vinciotti, Andrea Venema, Gert-Jan B van Ommen, Silvere M van der Maarel, Vered Raz, Peter A C 't Hoen
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 11, p e1002258 (2011)
Gene regulatory networks give important insights into the mechanisms underlying physiology and pathophysiology. The derivation of gene regulatory networks from high-throughput expression data via machine learning strategies is problematic as the reli
Externí odkaz:
https://doaj.org/article/de865cd5a04548ba84a6109d017e94d3
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::451bb57e59205aa3d384e8f5b2616c83
https://doi.org/10.1093/jrsssa/qnad067
https://doi.org/10.1093/jrsssa/qnad067
The Gaussian graphical model is one of the most used tools for inferring genetic networks. Nowadays, the data are often collected from different sources or under different biological conditions, resulting in heterogeneous datasets that exhibit a depe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::83de17c898678f1f3be48c934edbdd58
http://hdl.handle.net/10447/571245
http://hdl.handle.net/10447/571245
The covariate adjusted glasso is one of the most used estimators for in- ferring genetic networks. Despite its diffusion, there are several fields in applied research where the limits of detection of modern measurement technologies make the use of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::4402701a040a33e2f779ca5ecf91dae0
http://hdl.handle.net/10447/533699
http://hdl.handle.net/10447/533699
The earlier version of this paper appeared as a working paper at https://arxiv.org/abs/1911.04168. All the authors contributed equally to this work. Copyright © 2022 The Author(s). Motivated by reasons such as patients’ needs, lack of resources, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c9760684fd5a434c5dbed8c0a91383c
https://hdl.handle.net/10278/5014803
https://hdl.handle.net/10278/5014803
The authors of the paper “Bayesian Graphical Models for Modern Biological Applications” have put forward an important framework for making graphical models more useful in applied settings. In this discussion paper, we give a number of suggestions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c905e8100170b7c03f6e35b0203c1c25
http://hdl.handle.net/10447/533662
http://hdl.handle.net/10447/533662
Autor:
Ines J de Castro, Raquel Sales-Gil, Paola Vagnarelli, Dorothee C Kommer, Hasnat A Amin, Veronica Vinciotti, Cristina Sisu
Publikováno v:
EMBO Reports
H2A.Z is a H2A‐type histone variant essential for many aspects of cell biology, ranging from gene expression to genome stability. From deuterostomes, H2A.Z evolved into two paralogues, H2A.Z.1 and H2A.Z.2, that differ by only three amino acids and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18df2f767b83c949796a85078643534d
http://hdl.handle.net/11572/314883
http://hdl.handle.net/11572/314883