官方服务:
资源简介:
NGBatch data from our batch effects paper.
应用场景:
创建时间:
2016-03-26
相关数据集
Correcting batch effects in case-control microbiome studies.
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
Beaconet: A reference-free method for integration of multiple batches of single cell RNA-seq data
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
scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data
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 Ecosystem40
MOESM6 of A benchmark of batch-effect correction methods for single-cell RNA sequencing data
Additional file 6: Table S5. Evaluation statistical test. Statistical significance test results of the batch correction method’s assessment metric scores.
DataCite Commons2024-02-09 更新50
Metabolomics approach to understand the resource partitioning in Chlorella during growth
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



