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Agreement within IHC (ORI versus REV, ORI versus DIA) and between IHC (ORI) and RT-Qpcr.

NIAID Data Ecosystem2026-03-12 收录

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https://figshare.com/articles/dataset/Agreement_within_IHC_ORI_versus_REV_ORI_versus_DIA_and_between_IHC_ORI_and_RT-Qpcr_/16672401 数据链接链接失效反馈

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Agreement within IHC (ORI versus REV, ORI versus DIA) and between IHC (ORI) and RT-Qpcr.

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创建时间：

2021-09-23

微生物组差异丰度

生物医学方法比较

Additional file 8: Table S7. Pairwise concordances between methods with summary statistics calculations. Differential abundance testing was performed using 23 methods on both unfiltered (A-C, 445 gene

NIAID Data Ecosystem80

Classification accuracies of distinct classification methods for Baranzini dataset and Goertsches dataset: average (AVG) and standard deviation (SD).

疾病诊断性能评估

生物医学方法比较

Classification accuracies of distinct classification methods for Baranzini dataset and Goertsches dataset: average (AVG) and standard deviation (SD).

NIAID Data Ecosystem70

Additional file 1: of Auscultatory versus oscillometric blood pressure measurement in patients with atrial fibrillation and arterial hypertension

心血管疾病血压测量

生物医学方法比较

The raw data of study patients. The dataset contains demographic data (e.g. gender, age) and clinical data (e.g. past and current diseases, blood pressure measurements) of the study patients. (XLSX 21

Figshare2017-03-24 更新30

Additional file 13: of Comprehensive assessment of multiple biases in small RNA sequencing reveals significant differences in the performance of widely used methods

RNA测序偏差

生物医学方法比较

Table S10. Pairwise comparisons of batch error. Percent difference is calculated as the percent difference of the first method in the comparison relative to the second, thus Clontech had 33% less erro

Figshare2019-06-21 更新80

R script for methods comparison simulations under budding

生物医学方法比较

萌芽分化模拟

This R script will execute the methods comparison simulations shown in the paper under budding differentiation, given that appropriate libraries are installed.

DataONE2013-08-12 更新40

Agreement within IHC (ORI versus REV, ORI versus DIA) and between IHC (ORI) and RT-Qpcr.

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