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SGSeq (version 1.0.6)

filterFeatures: Filter predicted features

Description

Filter previously predicted features using more stringent criteria.

Usage

filterFeatures(features, paired_end, read_length, frag_length, lib_size, min_junction_count = NULL, alpha, psi, beta, gamma)

Arguments

features
TxFeatures object with predicted features, including elementMetadata columns “N”, “N_splicesite” and “coverage”.
paired_end
Logical, TRUE for paired-end data, FALSE for single-end data
read_length
Read length (required for use with alpha)
frag_length
Fragment length for paired-end data (required for use with alpha)
lib_size
Number of aligned fragments (required for use with alpha)
min_junction_count
Minimum fragment count required for a splice junction to be included. If specified, argument alpha is ignored.
alpha
Minimum FPKM required for a splice junction to be included. Internally, FPKMs are converted to counts, requiring arguments read_length, frag_length and lib_size. alpha is ignored if argument min_junction_count is specified.
psi
Minimum splice frequency required for a splice junction to be included
beta
Minimum relative coverage required for an internal exon to be included
gamma
Minimum relative coverage required for a terminal exon to be included

Value

TxFeatures object with filtered features

Details

Initial predictions with predictTxFeatures must have been performed with include_counts = TRUE and retain_coverage = TRUE, so that predicted features contain elementMetadata columns “N”, “N_splicesite” and “coverage”.