QC/QA — Batch Correction & Drift Monitoring — Hands-on

Learn how to plan and execute quality control and quality assurance for LC–MS / GC–MS metabolomics studies. This module covers QC sample design, key metrics, batch effect diagnostics and batch correction workflows so that your downstream statistics and biomarker results are based on stable, defensible data.

QC/QA — Batch Correction & Drift Monitoring

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Session Index

Session 1 — QC/QA Concepts & Study Design Session 2 — QC Samples, Metrics & Dashboards Session 3 — Batch Effect Assessment & Correction Session 4 — Mini Capstone: QC Report & Clean Matrix

Session 1

Fee: Rs 8800

QC/QA Concepts & Study Design

Role of QC/QA in metabolomics workflows

instrument stability vs biological variability sources of technical variation impact on biomarker and pathway results

QC sample types and layouts in run sequences

pooled QCs and conditioning injections system suitability and blanks reference materials and standards

Plate and batch design for large cohorts

randomisation and blocking strategies handling plates, batches and reruns recording run order and metadata

Session 2

Fee: Rs 11800

QC Samples, Metrics & Dashboards

Key QC metrics for features and runs

relative standard deviation in pooled QCs missingness and detection frequency signal to noise and carryover checks

Visual QC and drift inspection tools

total ion current and QC intensity plots feature level time series and RSD plots PCA with QC and study samples

Setting thresholds and acceptance criteria

RSD cut offs and feature filtering run level acceptance and rerun logic documenting QC decisions for audits

Session 3

Fee: Rs 14800

Batch Effect Assessment & Correction

Diagnosing batch effects and drift

run order trends in QC and study samples plate and batch specific shifts multivariate views of batch separation

Batch correction strategies using QC samples

LOESS or spline based drift modelling QC based signal correction approaches feature wise vs global corrections

Post correction checks and pitfalls

re evaluating QC metrics and PCA avoiding over correction of biology reporting correction methods transparently

Session 4

Fee: Rs 18800

Mini Capstone: QC Report & Clean Matrix

Applying QC filters and batch correction to a teaching dataset

from raw feature table to analysis ready matrix

Building a concise QC and drift monitoring report

summary tables and key plots before after batch correction views checklist for reviewers and collaborators

Deliverables: QC filtered matrix, plots & methods text

clean feature matrix for statistics QC dashboard style figure bundle ready to edit QC and batch correction description

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QC/QA — Batch Correction & Drift Monitoring Training | Metabolomics Quality & Batch Effects

QC/QA — Batch Correction & Drift Monitoring — Hands-on