COV computed on the Orig and TL data in four ComBat versions.

NIAID Data Ecosystem2026-03-12 收录

组学数据标准化

批次效应校正

数据链接：

https://figshare.com/articles/dataset/COV_computed_on_the_Orig_and_TL_data_in_four_ComBat_versions_/14896670 数据链接链接失效反馈

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COV computed on the Orig and TL data in four ComBat versions.

创建时间：

2021-07-01

Correcting batch effects in case-control microbiome studies.

微生物组

批次效应校正

OTU table, representative sequences, and metadata from combined Baxter, Zeller, and Zackular studies (colorectal cancer case-control datasets). These data were processed using a standardized workflow

DataCite Commons2020-08-30 更新60

scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data

单细胞RNA测序

批次效应校正

The test data of the manuscript: scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data

NIAID Data Ecosystem50

Taking FAIR on the ChIN: The Chemistry Implementation Network

组学数据标准化

科研数据共享

The Chemistry Implementation Network (ChIN) is focused on supporting the FAIR Data needs of the research community regarding chemical related data. Figure 1 shows the interoperation between the ChIN a

科学数据银行2020-10-17 更新20

Beaconet: A reference-free method for integration of multiple batches of single cell RNA-seq data

单细胞RNA测序

批次效应校正

The analysis code, the visualization of all correction results of benchmark methods, the preprocessed benchmark datasets in the paper "Beaconet: A reference-free method for integration of multiple bat

Figshare2024-08-31 更新50

Metabolomics approach to understand the resource partitioning in Chlorella during growth

微藻代谢

批次效应校正

We use untargeted high-resolution mass spectrometry to understand the metabolic differences at exponential and stationary growth stages using 22 Chlorella strains collected from South East Asia. Using

NIAID Data Ecosystem40

COV computed on the Orig and TL data in four ComBat versions.

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