blima

blima performs preprocessing and bead-level analysis of Illumina microarray data to extract, normalize, and summarize bead-level signals for downstream statistical analysis.

Key Features:

• Bead-level analysis: Operates at the bead level to obtain precise measurements from Illumina microarrays.
• Quantile normalization: Implements quantile normalization tailored for vectors of unequal lengths to enable comparability across arrays.
• Background correction methods: Provides background subtraction, RMA-like convolution, and background outlier removal for refining signal-to-noise ratios.
• Variance stabilizing transformation (VST): Applies VST at the bead level to reduce variability across conditions or samples.
• Data summarization: Summarizes bead-level measurements into array-level summaries while preserving critical signal information.
• Statistical testing: Supports t-tests for identifying statistically significant differences between experimental groups.

Scientific Applications:

• Genomics and molecular biology research: Preprocesses Illumina microarray data for high-throughput genomic investigations.
• Gene expression studies: Prepares bead-level data for analysis of gene expression patterns.
• Differential expression analysis: Produces normalized and summarized data suitable for differential expression testing.

Methodology:

Performs bead-level background correction (background subtraction, RMA-like convolution, outlier removal), variance-stabilizing transformation, quantile normalization for vectors of unequal lengths, bead-level summarization, and statistical testing via t-tests.