Single cell dataset - annotated matrix

NIAID Data Ecosystem2026-03-12 收录

单细胞RNA测序数据预处理

批次效应校正

数据链接：

https://zenodo.org/record/4034886 数据链接链接失效反馈

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资源简介：

This is an annotated dataset of scRNA-seq, used as the input for a Galaxy tutorial for filtering, normalisation and batch correction.

创建时间：

2021-03-18

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

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

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 Ecosystem40

MOESM6 of A benchmark of batch-effect correction methods for single-cell RNA sequencing data

单细胞RNA测序

批次效应校正

Additional file 6: Table S5. Evaluation statistical test. Statistical significance test results of the batch correction methodâ€™s assessment metric scores.

DataCite Commons2024-02-09 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

Single cell dataset - annotated matrix

资源简介：

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