Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Vera Djordjilovic"'
Autor:
Jonathan M. Dreyfuss, Vera Djordjilović, Hui Pan, Valerie Bussberg, Allison M. MacDonald, Niven R. Narain, Michael A. Kiebish, Matthias Blüher, Yu-Hua Tseng, Matthew D. Lynes
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract Activating brown adipose tissue (BAT) improves systemic metabolism, making it a promising target for metabolic syndrome. BAT is activated by 12,13-dihydroxy-9Z-octadecenoic acid (12,13-diHOME), which we previously identified to be inversely
Externí odkaz:
https://doaj.org/article/afea66cd67a749dc88a7aa390e8ba4af
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background The matched case–control design, up until recently mostly pertinent to epidemiological studies, is becoming customary in biomedical applications as well. For instance, in omics studies, it is quite common to compare cancer and h
Externí odkaz:
https://doaj.org/article/093b01d963804ac98a5cedb448e4574a
Autor:
Christian M. Page, Therese H. Nøst, Vera Djordjilović, Magne Thoresen, Arnoldo Frigessi, Torkjel M. Sandanger, Marit B. Veierød
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract The prognosis of cutaneous melanoma depends on early detection, and good biomarkers for melanoma risk may provide a valuable tool to detect melanoma development at a pre-clinical stage. By studying the epigenetic profile in pre-diagnostic bl
Externí odkaz:
https://doaj.org/article/e770735ff66a487bb01c93200f8ebbcc
Autor:
Jonathan M. Dreyfuss, Yixing Yuchi, Xuehong Dong, Vissarion Efthymiou, Hui Pan, Donald C. Simonson, Ashley Vernon, Florencia Halperin, Pratik Aryal, Anish Konkar, Yinong Sebastian, Brandon W. Higgs, Joseph Grimsby, Cristina M. Rondinone, Simon Kasif, Barbara B. Kahn, Kathleen Foster, Randy Seeley, Allison Goldfine, Vera Djordjilović, Mary Elizabeth Patti
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Factors underlying the effects of gastric bypass surgery on glucose homeostasis are incompletely understood. Here the authors developed and applied high-throughput mediation analysis to identify proteome/metabolome mediators of improved glucose homeo
Externí odkaz:
https://doaj.org/article/77b147ec15344c3cb4b79626a96517bd
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 10, p e1007357 (2019)
Topological gene-set analysis has emerged as a powerful means for omic data interpretation. Although numerous methods for identifying dysregulated genes have been proposed, few of them aim to distinguish genes that are the real source of perturbation
Externí odkaz:
https://doaj.org/article/1c62aead9b4247778fdf74e9cc664bdc
A study is presented for exploring the possibility of applying the source set approach (Djordjilovic V, Chiogna M.(2018)), developed under the assumption of normality, to count data, after data transformation. Some explanations about the source set a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::c11a0c5cab1c0184bd3875debf23249c
http://hdl.handle.net/11585/826411
http://hdl.handle.net/11585/826411
Summary We propose a novel method for simulating the effects of gene silencing. Our approach combines relevant subject matter information provided by biological pathways with gene expression levels measured in regular conditions to predict the behavi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e00b5cd14a5c06f4052b8645c632f70
http://hdl.handle.net/10278/3728773
http://hdl.handle.net/10278/3728773