Fit cross-technology harmonized rCLR anchors

Usage

fit_cross_tech_harmonized_rclr(
  train_expr,
  train_meta,
  panel,
  technology_col = "technology",
  required_technologies = c("NGS", "Toray", "qPCR", "NanoString"),
  min_detection_rate = 0.05,
  n_anchor = 20L,
  pseudocount = NULL
)

Arguments

train_expr: Numeric matrix, samples x features, training pool.
train_meta: Data frame aligned to `train_expr`.
panel: Character vector of panel features.
technology_col: Column identifying technology class.
required_technologies: Technology classes required for selection.
min_detection_rate: Minimum per-technology detection rate.
n_anchor: Maximum number of anchors to select.
pseudocount: Optional additive pseudocount before log transform.

Value

Fit object consumed by `predict_cross_tech_harmonized_rclr()`.