Capturing sleep–wake cycles by using day-to-day smartphone touchscreen interactions

Name: Capturing sleep–wake cycles by using day-to-day smartphone touchscreen interactions
Creator: Leiden University
Published: 2019-01-01T00:00:00+08:00

DataverseNL2019-07-30 更新2026-05-11 收录

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睡眠监测

数据链接：

https://dataverse.nl/citation?persistentId=doi:10.34894/U7NPHZ 数据链接链接失效反馈

官方服务：

资源简介：

Jay N. Borger, Reto Huber & Arko Ghosh (2019) NPJ Digital Medicine

提供机构：

Leiden University

创建时间：

2019-01-01

Summary of KP metabolite levels in the plasma of GBM patients and healthy control subjects using HPLC and GCMS.

代谢组学

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↑denotes significantly higher; ↓denotes significantly lower; Data presented as the means ±SEM; KYNA/KYN and KYN/TRP ratio levels are expressed in arbitrary units. Summary of KP metabolite levels in th

NIAID Data Ecosystem80

Supplementary Tables.zip

肝细胞癌预后

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Supplementary Figure S1 to S7 for manuscript (Exploration of a novel prognostic nomogram and diagnostic biomarkers based on the activity variations of hallmark gene sets in hepatocellular carcinoma).

NIAID Data Ecosystem10

Diagnostic value of cortisol, CRP and their combined Logit P diagnostic model for bacterial infection.

细菌感染诊断

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Diagnostic value of cortisol, CRP and their combined Logit P diagnostic model for bacterial infection.

NIAID Data Ecosystem00

Metabolites in the hippocampus of mice identified by GS-TOF-MS as potential markers.

代谢组学

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Metabolites in the hippocampus of mice identified by GS-TOF-MS as potential markers.

NIAID Data Ecosystem40

ROC curve results for single and combined biomarker models (adjusted for age and sex). Combined models are based on multivariable logistic regression using biomarker expression levels adjusted for age and sex. In the colorectal cancer group, although the sex distribution was balanced (25 females, 25 males), adjustment for sex was retained to account for possible sex-specific differences in biomarker biology and to improve model precision when comparing against a sex-matched control group. AUC = Area Under the Curve; CI = Confidence Interval.