A novel scan statistics approach for clustering identification and comparison in binary genomic data

BMC Bioinformatics

Table 1 List of first 10 clusters identified in HIV data by scan statistics

S	Chr	Start	End	IS count	\(\frac {\hat {p_{HIV_{Z}}}}{\hat {q_{HIV_{Z}}}}\)	Raw p-value	Adj p-value
2463.2	chr11	63175583	68111375	651	17.2	<2e-16	<2e-16
1795.1	chr16	95090	3640598	444	19.6	<2e-16	<2e-16
1390.0	chr17	70634094	73732441	386	15.5	<2e-16	<2e-16
1189.8	chr17	75720251	78604915	323	16.2	<2e-16	<2e-16
1063.8	chr3	46999507	52978572	424	8.5	<2e-16	<2e-16
1046.8	chr6	30563526	33532447	325	12.6	<2e-16	<2e-16
1041.8	chr9	138245676	139772487	224	26.9	<2e-16	<2e-16
732.0	chr8	144469820	146194757	188	18.1	<2e-16	<2e-16
721.1	chr19	572963	3118599	209	14.3	<2e-16	<2e-16
629.1	chr17	1483915	4578114	238	9.2	<2e-16	<2e-16

ISSN: 1471-2105