QuantNorm
Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection
Modifies the distance matrix obtained from data with batch effects, so as to improve the performance of sample pattern detection, such as clustering, dimension reduction, and construction of networks between subjects. The method has been published in Bioinformatics (Fei et al, 2018, <doi:10.1093/bioinformatics/bty117>). Also available on 'GitHub' <https://github.com/tengfei-emory/QuantNorm>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.5 |
rolling linux/jammy R-4.5 | QuantNorm_1.0.5.tar.gz |
1.8 MiB |
1.0.5 |
rolling linux/noble R-4.5 | QuantNorm_1.0.5.tar.gz |
1.8 MiB |
1.0.5 |
rolling source/ R- | QuantNorm_1.0.5.tar.gz |
1.8 MiB |
1.0.5 |
latest linux/jammy R-4.5 | QuantNorm_1.0.5.tar.gz |
1.8 MiB |
1.0.5 |
latest linux/noble R-4.5 | QuantNorm_1.0.5.tar.gz |
1.8 MiB |
1.0.5 |
latest source/ R- | QuantNorm_1.0.5.tar.gz |
1.8 MiB |
1.0.5 |
2026-04-26 source/ R- | QuantNorm_1.0.5.tar.gz |
1.8 MiB |
1.0.5 |
2026-04-23 source/ R- | QuantNorm_1.0.5.tar.gz |
1.8 MiB |
1.0.5 |
2026-04-09 windows/windows R-4.5 | QuantNorm_1.0.5.zip |
1.8 MiB |
1.0.5 |
2025-04-20 source/ R- | QuantNorm_1.0.5.tar.gz |
1.8 MiB |