日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Identifying unmeasured heterogeneity in microbiome data via quantile thresholding (QuanT)

利用分位数阈值法(QuanT)识别微生物组数据中未测量的异质性

Lu, Jiuyao; Satten, Glen A; Meyer, Katie A; Launer, Lenore J; Ling, Wodan; Zhao, Ni

Ranked Severe Maternal Morbidity Index for Population-Level Surveillance by Mode of Delivery

按分娩方式划分的人群水平监测严重孕产妇发病率指数排名

Womack, Lindsay S; Galang, Romeo R; Admon, Lindsay K; Clark, Elizabeth A; Ewing, Alexander C; Satten, Glen A; Ko, Jean Y; Ferre, Cynthia D; Kroelinger, Charlan D

Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency in testing differential abundance

整合分析微生物16S基因和宏基因组鸟枪法测序数据,可提高差异丰度检验的统计效率。

Yue, Ye; Mao, Yicong; Read, Timothy D; Fedirko, Veronika; Satten, Glen A; Chen, Xuan; Zhan, Xiang; Hu, Yi-Juan

CAFT: A Compositional Log-Linear Model for Microbiome Data with Zero Cells

CAFT:一种用于微生物组数据(包含零细胞)的组成对数线性模型

Satten, Glen A; Li, Mo; Zhao, Ni

MERIT: Controlling Monte-Carlo error rate in large-scale Monte-Carlo hypothesis testing

研究成果:控制大规模蒙特卡罗假设检验中的蒙特卡罗误差率

Li, Yunxiao; Hu, Yi-Juan; Satten, Glen A

Fresh vs. frozen embryo transfer: new approach to minimize the limitations of using national surveillance data for clinical research

新鲜胚胎移植与冷冻胚胎移植:一种最大限度减少利用国家监测数据进行临床研究局限性的新方法

Weiss, Marissa Steinberg; Luo, Chongliang; Zhang, Yujia; Chen, Yong; Kissin, Dmitry M; Satten, Glen A; Barnhart, Kurt T

Impact of Experimental Bias on Compositional Analysis of Microbiome Data

实验偏差对微生物组数据组成分析的影响

Hu, Yingtian; Satten, Glen A; Hu, Yi-Juan

Ranked severe maternal morbidity index for population-level surveillance at delivery hospitalization based on hospital discharge data

基于出院数据的分娩住院人群严重孕产妇发病率指数排名

Kuklina, Elena V; Ewing, Alexander C; Satten, Glen A; Callaghan, William M; Goodman, David A; Ferre, Cynthia D; Ko, Jean Y; Womack, Lindsay S; Galang, Romeo R; Kroelinger, Charlan D

Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency

微生物16S基因和宏基因组鸟枪法测序数据的整合分析提高了统计效率

Yue, Ye; Read, Timothy D; Fedirko, Veronika; Satten, Glen A; Hu, Yi-Juan

LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control

LOCOM:一种用于检验组成微生物组数据中差异丰度并控制错误发现率的逻辑回归模型

Hu, Yingtian; Satten, Glen A; Hu, Yi-Juan