Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shengtong Han"'
Publikováno v:
Frontiers in Oral Health, Vol 5 (2024)
IntroductionAttachment loss due to periodontal diseases is associated with functional limitations as well as physical pain and psychological discomfort, which may lead to a reduced quality of life. The purpose of this study is to determine if the ora
Externí odkaz:
https://doaj.org/article/f7f2da8ee393443b991befab8c5997df
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e115806 (2014)
Boolean networks are a simple but efficient model for describing gene regulatory systems. A number of algorithms have been proposed to infer Boolean networks. However, these methods do not take full consideration of the effects of noise and model unc
Externí odkaz:
https://doaj.org/article/1f51ceee20a44afba428c9146c29a1e8
An in‐vitro analysis of the accuracy of different guided surgery systems – They are not all the same
Publikováno v:
Clinical Oral Implants Research. 34:531-541
Publikováno v:
Frontiers in Oral Health; 2024, p1-7, 7p
Autor:
Lulu Hu, Xiaolong Cui, Qing Dai, Shaorong Gao, Shengtong Han, Wenhui Sheng, Xiaochen Kou, Yanhong Zhao, Xin He, Xingyu Lu, Lei Yang, Chuan He, Yuwen Liu, Yawei Gao
Publikováno v:
J Am Chem Soc
5-Hydroxymethylcytosine (5hmC) arises from the oxidation of 5-methylcytosine (5mC) by Fe(2+) and 2-oxoglutarate-dependent 10–11 translocation (TET) family proteins. Substantial levels of 5hmC accumulate in many mammalian tissues, especially in neur
Publikováno v:
J Stat Comput Simul
This article focuses on the clustering problem based on Dirichlet process (DP) mixtures. To model both time invariant and temporal patterns, different from other existing clustering methods, the proposed semi-parametric model is flexible in that both
Publikováno v:
Emerging Topics in Statistics and Biostatistics ISBN: 9783030724368
This section describes a nested Bayesian clustering method to identify DNA methylation (DNAm) sites (CpG sites) such that DNAm is transmitted from one generation to the next, and to study heterogeneity among CpG sites with DNAm transmitted. To facili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4029a669cc9cbbf4684dd0d087dc14a7
https://doi.org/10.1007/978-3-030-72437-5_20
https://doi.org/10.1007/978-3-030-72437-5_20
Publikováno v:
Computational Statistics & Data Analysis. 109:93-104
Background noise in cluster analyses can potentially mask the true underlying patterns. To tease out patterns uniquely to certain populations, a Bayesian semi-parametric clustering method is presented. It infers and adjusts background noise. The meth
Autor:
Shengtong Han, Xin He, Gao Wang, Sheng W, Yuwen Liu, Siming Zhao, Nicholas W. Knoblauch, Yubin Xie, Hoang T. Nguyen
Rare genetic variants make significant contributions to human diseases. Compared to common variants, rare variants have larger effect sizes and are generally free of linkage disequilibrium (LD), which makes it easier to identify causal variants. Nume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dca3d2e49eac493d4354d7f57dc999b
This article proposes a Bayesian computing algorithm to infer Gaussian directed acyclic graphs (DAGs). It has the ability of escaping local modes and maintaining adequate computing speed compared to existing methods. Simulations demonstrated that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb8489d356a0c85f4965ce6ed24012b3
https://europepmc.org/articles/PMC6433420/
https://europepmc.org/articles/PMC6433420/