qcSSMDhomo

The software tool "qcSSMDhomo" addresses issues with the widely used Z-factor in high-throughput screening (HTS) studies. The Z-factor, traditionally employed for assay quality assurance, is critiqued for violating statistical principles, lacking sampling error adjustment, non-existence of sample-based expectations, and absence of theoretical thresholds.

The R package qcSSMDhomo introduces new quality control (QC) criteria under homoscedasticity, offering researchers a statistically grounded criterion for QC in HTS studies.

Topic

Functional, regulatory and non-coding RNA;Statistics and probability;Quality affairs

Detail

  • Operation: Validation;Standardisation and normalisation

  • Software interface: Command-line user interface

  • Language: R

  • License: -

  • Cost: Free

  • Version name: 1.0

  • Credit: University of Macau, The Science and Technology Development Fund, Macau SAR.

  • Input: -

  • Output: -

  • Contact: Xiaohua Douglas Zhang douglaszhang@um.edu.mo ,Heping Zhang heping.zhang@yale.edu

  • Collection: -

  • Maturity: -

Publications

  • Issues of Z-factor and an approach to avoid them for quality control in high-throughput screening studies.
  • Zhang XD, et al. Issues of Z-factor and an approach to avoid them for quality control in high-throughput screening studies. Issues of Z-factor and an approach to avoid them for quality control in high-throughput screening studies. 2021; 36:5299-5303. doi: 10.1093/bioinformatics/btaa1049
  • https://doi.org/10.1093/BIOINFORMATICS/BTAA1049
  • PMID: 33346821
  • PMC: -

Download and documentation

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