Table 2.

Attributes used to train prediction model: total 15-features are calculated with samtools-bcftools(v1.2) pipeline [23]

Categories	Attributes	Description
Read depth	Read depth	Read depth
Allele segregation	VAF	Variant read ratio
Allele segregation	SGB	Segregation based metric
Allele segregation	FQ	Phred probability of all samples
		being the same
Allele segregation	CallQual	Variant/reference QUALity
Mapping quality	PV3	Mapping quality bias
Mapping quality	MQB	Mann-Whitney U test of Mapping
		Quality Bias
Mapping quality	MQ0F	Fraction of MQ0 reads
Mapping quality	MQ	Root-mean-square mapping quality
		of covering reads
Read position	VDB	Variant Distance Bias for filtering
		splice-site artefacts in
		RNA-seq data
Read position	RPB	Mann-Whitney U test of Read
		Position Bias
Read position	PV4	Tail distance bias
Base quality	PV2	Base quality bias
Base quality	BQB	Mann-Whitney U test of Base
		Quality Bias
Read strand	PV1	Read strand bias