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Directly loading counts matrix #110

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shashwatsahay opened this issue Sep 22, 2022 · 0 comments
Open

Directly loading counts matrix #110

shashwatsahay opened this issue Sep 22, 2022 · 0 comments
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@shashwatsahay
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shashwatsahay commented Sep 22, 2022

Hi,

Is there a constructor which directly converts a bed file into a QDNAseq counts object.

I have a manually normalised count dataframe that I would like to convert into QDNAseq counts object.

chr	bin_start	bin_end	bin_len	bin_ind	normalised_counts	counts
1	1	1000000	999999	1	-1.0	-1.0
1	1000000	2000000	1000000	2	1.9563313228679595	6471.0
1	2000000	3000000	1000000	3	1.7959808612440193	5831.0
1	3000000	4000000	1000000	4	2.1815908104054	5006.0
1	4000000	5000000	1000000	5	1.8522823862440945	4386.0
1	5000000	6000000	1000000	6	1.7374568288854002	4411.0
1	6000000	7000000	1000000	7	2.0295699960076092	5871.0
1	7000000	8000000	1000000	8	1.7201969234365184	5333.0
1	8000000	9000000	1000000	9	2.1330930294195602	5832.0
1	9000000	10000000	1000000	10	1.7651345542717536	6528.0
1	10000000	11000000	1000000	11	1.8698060381177264	5774.0
1	11000000	12000000	1000000	12	1.9361234254467337	5388.0
1	12000000	13000000	1000000	13	1.8358008110726192	5064.0
1	13000000	14000000	1000000	14	-1.0	-1.0
1	14000000	15000000	1000000	15	1.7447801574292559	4387.0
1	15000000	16000000	1000000	16	1.7856350898568385	5841.0
1	16000000	17000000	1000000	17	1.8243780648454042	5990.0
1	17000000	18000000	1000000	18	1.8388992465260687	5499.0
1	18000000	19000000	1000000	19	1.7154621040335325	5088.0
1	19000000	20000000	1000000	20	1.7935685094126652	6261.0
1	20000000	21000000	1000000	21	2.2186218332868144	6120.0
1	21000000	22000000	1000000	22	1.716944375105414	5763.0
1	22000000	23000000	1000000	23	1.811195901200985	6212.0
1	23000000	24000000	1000000	24	1.9318113465481888	6720.0
1	24000000	25000000	1000000	25	2.018586800954148	5174.0
1	25000000	26000000	1000000	26	1.900484277627135	5428.0
1	26000000	27000000	1000000	27	1.933725976174956	6113.0
1	27000000	28000000	1000000	28	1.957852620181039	6715.0
1	28000000	29000000	1000000	29	1.7993508052571678	5227.0
1	29000000	30000000	1000000	30	1.827352659926606	5063.0
1	30000000	31000000	1000000	31	1.8821740975232326	5123.0

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