Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tonje G. Lien"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-22 (2021)
Abstract Background Identifying gene interactions is a topic of great importance in genomics, and approaches based on network models provide a powerful tool for studying these. Assuming a Gaussian graphical model, a gene association network may be es
Externí odkaz:
https://doaj.org/article/29190143e82f45898a65c4d79ac0a39f
Publikováno v:
BMC Medical Genomics, Vol 11, Iss 1, Pp 1-11 (2018)
Abstract Background Using high-dimensional penalized regression we studied genome-wide DNA-methylation in bone biopsies of 80 postmenopausal women in relation to their bone mineral density (BMD). The women showed BMD varying from severely osteoporoti
Externí odkaz:
https://doaj.org/article/8f80f01582b34715ba1ac268ab5f1f07
Autor:
Hege O. Ohnstad, Elin Borgen, Ragnhild S. Falk, Tonje G. Lien, Marit Aaserud, My Anh T. Sveli, Jon A. Kyte, Vessela N. Kristensen, Gry A. Geitvik, Ellen Schlichting, Erik A. Wist, Therese Sørlie, Hege G. Russnes, Bjørn Naume
Publikováno v:
Breast Cancer Research, Vol 19, Iss 1, Pp 1-12 (2017)
Abstract Background The aim of this study was to investigate the prognostic value of the PAM50 intrinsic subtypes and risk of recurrence (ROR) score in patients with early breast cancer and long-term follow-up. A special focus was placed on hormone r
Externí odkaz:
https://doaj.org/article/a45dab2fcc384c7eab60ce8a11289adf
Distinct DNA methylation profiles in bone and blood of osteoporotic and healthy postmenopausal women
Autor:
Sjur Reppe, Tonje G. Lien, Yi-Hsiang Hsu, Vigdis T. Gautvik, Ole K. Olstad, Rona Yu, Hege G. Bakke, Robert Lyle, Marianne K. Kringen, Ingrid K. Glad, Kaare M. Gautvik
Publikováno v:
Epigenetics, Vol 12, Iss 8, Pp 674-687 (2017)
DNA methylation affects expression of associated genes and may contribute to the missing genetic effects from genome-wide association studies of osteoporosis. To improve insight into the mechanisms of postmenopausal osteoporosis, we combined transcri
Externí odkaz:
https://doaj.org/article/122bdce6868d4632b3931a2a8da889fb
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-22 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background Identifying gene interactions is a topic of great importance in genomics, and approaches based on network models provide a powerful tool for studying these. Assuming a Gaussian graphical model, a gene association network may be estimated f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa7c92249c2ce1b6d1963d6f7060d4d9
https://doaj.org/article/29190143e82f45898a65c4d79ac0a39f
https://doaj.org/article/29190143e82f45898a65c4d79ac0a39f
Publikováno v:
Statistics in Medicine. 35:368-381
For many high-dimensional studies, additional information on the variables, like (genomic) annotation or external p-values, is available. In the context of binary and continuous prediction, we develop a method for adaptive group-regularized (logistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fac6f2fb8b0ed04e821f09f3a9161d4
https://doi.org/10.1002/sim.6732
https://doi.org/10.1002/sim.6732
Distinct DNA methylation profiles in bone and blood of osteoporotic and healthy postmenopausal women
Autor:
Robert Lyle, Tonje G. Lien, Kaare M. Gautvik, Hege G. Bakke, Marianne K. Kringen, Rona Yu, Sjur Reppe, Vigdis T. Gautvik, Yi-Hsiang Hsu, Ingrid K. Glad, Ole Kristoffer Olstad
DNA methylation affects expression of associated genes and may contribute to the missing genetic effects from genome-wide association studies of osteoporosis. To improve insight into the mechanisms of postmenopausal osteoporosis, we combined transcri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::848ca595f58024480614a6d59fbc5b9a
http://hdl.handle.net/10852/62369
http://hdl.handle.net/10852/62369
Publikováno v:
Scientific Reports
Combining genome-wide structural models with phenomenological data is at the forefront of efforts to understand the organizational principles regulating the human genome. Here, we use chromosome-chromosome contact data as knowledge- based constraints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cce689211a93eff6714d0471f2add8be
https://doi.org/10.1101/079558
https://doi.org/10.1101/079558
Autor:
Mark A, van de Wiel, Tonje G, Lien, Wina, Verlaat, Wessel N, van Wieringen, Saskia M, Wilting
Publikováno v:
Statistics in medicine. 35(3)
For many high-dimensional studies, additional information on the variables, like (genomic) annotation or external p-values, is available. In the context of binary and continuous prediction, we develop a method for adaptive group-regularized (logistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::612d9fc183473e8a9b8cabdfcf69a67a
https://pubmed.ncbi.nlm.nih.gov/26365903
https://pubmed.ncbi.nlm.nih.gov/26365903
Autor:
Ingrid K. Glad, Geir Kjetil Sandve, Tonje G. Lien, Ørnulf Borgan, Jonas Paulsen, Lars Holden, Eivind Hovig
Publikováno v:
Nucleic Acids Research
The study of chromatin 3D structure has recently gained much focus owing to novel techniques for detecting genome-wide chromatin contacts using next-generation sequencing. A deeper understanding of the architecture of the DNA inside the nucleus is cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::486f9a93c9ca48d7e5ec1c6a47edaf43
http://hdl.handle.net/10852/48696
http://hdl.handle.net/10852/48696