Closed schmattes42 closed 3 years ago
Unfortunately not. The current version of EpiSCORE generates a DNAm reference matrix defined over genes and cell-types, where the DNAm value per gene represents the estimated value for CpGs within 200bp upstream of the TSS. So, anyone with WGBS data would need to summarize their WGBS data for these regions and respective marker genes in the EpiSCORE DNAm reference. In next EpiSCORE version we will aim to provide a function to do this.
Alright!
I saw in your example Methylation data file betaRMAPint.m, that the rownames are some integer values. I suspect that these are the cg identifiers from either EPIC arrays, or 450k array, without preceding cg[0]*. Is that right?
Or maybe i ask this way:
What should the rownames of beta.m (second argument of constAvBetaTSS) be?
rownames(beta.m) where beta.m is the 1st argument of constAvBetaTSS should be the CpG identifiers (as used e.g. in the 450k/850 annotation). the other rownames of betaRMAPint.m would be gene identifiers (Entrez gene IDs)
Great! Thanks a lot!
Sorry to ask again: Is there an example matrix (beta.m) that goes into constAvBetaTSS . Or could you provide an example here.
here an example of what i put into constAvBetaTSS
S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | ... | S13 | S14 | S15 | S16 | S17 | S18 | S19 | S20 | S21 | S22 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cg11073926 | 0.0000000 | 0.00000000 | 0.0000000 | 0.0000000 | 0.02173913 | 0.0200000 | 0.0000000 | 0.03921569 | 0.00000000 | 0.0000000 | ... | 0.0000000 | 0.04166667 | 0.0000000 | 0.00000000 | 0.0000000 | 0.00000000 | 0.00000000 | 0.000 | 0.0000000 | 0.0000000 |
cg24040570 | 0.0000000 | 0.00000000 | 0.0000000 | 0.0000000 | 0.03448276 | 0.0000000 | 0.0000000 | 0.00000000 | 0.00000000 | 0.0000000 | ... | 0.0000000 | 0.02857143 | 0.0000000 | 0.00000000 | 0.0000000 | 0.00000000 | 0.00000000 | 0.000 | 0.0000000 | 0.0000000 |
cg01675618 | 0.0000000 | 0.00000000 | 0.0000000 | 0.0000000 | 0.00000000 | 0.0000000 | 0.0000000 | 0.00000000 | 0.01428571 | 0.0000000 | ... | 0.0000000 | 0.00000000 | 0.0000000 | 0.00000000 | 0.0000000 | 0.00000000 | 0.00000000 | 0.000 | 0.0000000 | 0.0000000 |
cg11947782 | 0.9545455 | 0.94285714 | 0.9117647 | 0.9444444 | 0.87878788 | 0.9782609 | 1.0000000 | 0.96551724 | 0.92045455 | 0.9583333 | ... | 1.0000000 | 1.00000000 | 0.9629630 | 1.00000000 | 0.9736842 | 0.97826087 | 0.97058824 | 1.000 | 0.9714286 | 0.9428571 |
cg25261995 | 0.0000000 | 0.00000000 | 0.0000000 | 0.0000000 | 0.00000000 | 0.0000000 | 0.0000000 | 0.01428571 | 0.01190476 | 0.0000000 | ... | 0.0000000 | 0.00000000 | 0.0000000 | 0.00000000 | 0.0000000 | 0.00000000 | 0.00000000 | 0.000 | 0.0000000 | 0.0000000 |
cg25593794 | 0.2258065 | 0.04651163 | 0.1730769 | 0.1111111 | 0.35897436 | 0.5714286 | 0.6666667 | 0.06976744 | 0.64601770 | 0.4482759 | ... | 0.2333333 | 0.16949153 | 0.3529412 | 0.05714286 | 0.2857143 | 0.04761905 | 0.05084746 | 0.125 | 0.1538462 | 0.1627907 |
I get the following errors
Warning message:
"non-unique values when setting 'row.names': '10', '100', '1000', '10000', '100009613', '10001', '10002', '10003', '100033413', '100033414', '100033416', '100033420', '100033423', '100033424', '100033427', '100033430', '100033432', '100033433', '100033434', '100033435', '100033436', '100033437', '100033438', '100033440', '100033441', '100033443', '100033444', '100033445', '100033447', '100033450', '100033451', '100033454', '100033809', '100033811', '100033812', '100033813', '100033814', '100033815', '100033818', '100033820', '100033821', '100036566', '10004', '100049587', '10006', '10007', '10008', '10009', '1001', '10010', '100101267', '100113407', '100124700', '100125288', '100126304', '100126306', '100126328', '100126335', '100126341', '100126346', '100126348', '100126355', '100126693', '100126781', '100127206', '100127889', '100127983', '100128124', '100128126', '100128233', '100128239', '100128288', '100128496', '100128554', '100128682', '100128714', '100128822', '100128890', '100128927', '100129027', '100129094', '100129128', '100129138', '100129269', '100129271', '100129385', '100129405', '100129464', '100129480', '100129543', '100129550', '100129583', '100129669', '100129792', '100129842', '100129924', '10013', '100130155', '100130301', '100130302', '100130331', '100130348', '100130357', '100130370', '100130480', '100130519', '100130539', '100130742', '100130771', '100130827', '100130872', '100130889', '100130890', '100130954', '100130987', '100131017', '100131137', '100131211', '100131303', '100131378', '100131390', '100131551', '100131755', '100131827', '100131902', '100131980', '100132078', '100132116', '100132146', '100132159', '100132215', '100132386', '100132403', '100132463', '100132476', '100132594', '100132831', '100132916', '100133050', '100133123', '100133985', '100134015', '100134317', '100134391', '100134868', '10014', '100141515', '100144595', '10015', '100151643', '100151684', '10016', '100169851', '10017', '100170222', '100170226', '100170765', '100170841', '10018', '10019', '100190940', '100190949', '100192420', '1002', '10020', '10021', '10022', '10023', '10024', '10025', '10026', '100271702', '100271715', '100271846', '100287102', '100287226', '100287362', '100287482', '100287592', '100287639', '100287898', '100287932', '100288077', '100288079', '100288323', '100288413', '100288485', '100288527', '100288801', '100288814', '100289019', '100289211', '100289473', '100289635', '100289650', '100289678', '100293516', '100294720', '1003', '100302114', '100302115', '100302116', '100302117', '100302123', '100302126', '100302130', '100302142', '100302157', '100302164', '100302168', '100302169', '100302177', '100302187', '100302192', '100302205', '100302208', '100302212', '100302227', '100302235', '100302255', '100302259', '100302265', '100302267', '100302270', '100302277', '100302281', '100302287', '100302290', '100302691', '100303755', '100313777', '100313778', '100313779', '100313839', '100313896', '100316904', '100337616', '10036', '10038', '1004', '10040', '100419006', '100419583', '10042', '100421746', '100422737', '100422847', '100423035', '100423062', '10043', '100431172', '10044', '10045', '100462977', '100463285', '100463289', '100463482', '100463488', '10048', '10049', '100499405', '100499467', '1005', '10050', '100500876', '100500878', '100500938', '100505477', '100505478', '100505530', '100505547', '100505549', '100505566', '100505583', '100505591', '100505625', '100505633', '100505663', '100505683', '100505696', '100505724', '100505739', '100505753', '100505768', '100505776', '100505835', '100505841', '100505876', '100505878', '100505887', '100505912', '100505918', '100505929', '100505964', '100505989', '100505993', '100505994', '100506013', '100506035', '100506046', '100506049', '100506070', '100506082', '100506115', '100506126', '100506159', '100506172', '100506229', '100506241', '100506272', '100506385', '100506412', '100506422', '100506428', '100506444', '100506462', '100506526', '100506527', '100506540', '100506564', '100506650', '100506658', '100506679', '100506682', '100506688', '100506697', '100506700', '100506724', '100506725', '100506736', '100506737', '100506742', '100506759', '100506775', '100506783', '100506790', '100506835', '100506840', '100506930', '100507003', '100507006', '100507008', '100507043', '100507050', '100507055', '100507058', '100507059', '100507065', '100507096', '100507175', '100507194', '100507195', '100507257', '100507261', '100507267', '100507290', '100507297', '100507300', '100507321', '100507377', '100507406', '100507420', '100507431', '100507436', '100507487', '100507489', '100507527', '100507528', '100507537', '100507540', '100507588', '100507608', '100507629', '100507642', '100507650', '100507661', '100507679', '10052', '100527964', '100528032', '100529141', '10053', '100533177', '10054', '10055', '10056', '10057', '10058', '10059', '1006', '10060', '10061', '100616150', '100616181', '100616307', '100616330', '100616413', '100616448', '100616477', '10063', '100631378', '100652740', '100652759', '100652824', '100652853', '10066', '10068', '10069', '1007', '10071', '10072', '10073', '10075', '100750225', '10076', '10078', '10079', '1008', '10081', '10082', '100820709', '10083', '100847029', '100847032', '100847071', '10085', '100859921', '10086', '100861468', '100861518', '100861523', '100861544', '100861546', '100861547', '100861549', '100861552', '100873165', '100873856', '100873857', '100873954', '100873989', '100874042', '100874043', '100874047', '100874048', '100874051', '100874053', '100874079', '100874089', '100874120', '100874127', '100874136', '100874143', '100874145', '100874151', '100874155', '100874158', '100874168', '100874173', '100874187', '100874188', '100874197', '100874219', '100874253', '100874275', '100874282', '100874322', '100874325', '100874343', '100874369', '100885778', '100885779', '100885789', '100885798', '10089', '1009', '10090', '10094', '10095', '10096', '10097', '10098', '10099', '100996255', '100996259', '100996266', '100996279', '100996280', '100996291', '100996425', '100996455', '100996570', '100996590', '100996597', '100996634', '100996669', '100996671', '100996693', '100996694', '100996702', '101', '1010', '10100', '10103', '10105', '10106', '101060019', '101060385', '101060544', '10109', '10110', '101101772', '10111', '10113', '10114', '101154644', '10116', '10117', '101180976', '1012', '10120', '10123', '10124', '10125', '10126', '10127', '10128', '10129', '1013', '10130', '10131', '10133', '10135', '10136', '10138', '1014', '10140', '101409253', '10142', '10143', '10144', '10146', '10148', '10149', '1015', '10150', '10151', '10152', '10154', '10155', '10157', '10158', '10159', '1016', '10160', '10162', '10163', '10164', '10165', '10166', '10169', '10170', '10171', '10172', '10174', '10175', '10178', '10180', '101805491', '10181', '10184', '10186', '10188', '1019', '101926892', '101926896', '101926924', '101926925', '101926926', '101926928', '101926942', '101926944', '101926955', '101926971', '101926975', '101927007', '101927015', '101927043', '101927056', '101927058', '101927070', '101927087', '101927112', '101927115', '101927129', '101927131', '101927153', '101927171', '101927189', '101927195', '101927207', '101927229', '101927230', '101927237', '101927242', '101927244', '101927258', '101927269', '101927273', '101927280', '101927282', '101927289', '101927310', '101927332', '101927334', '101927342', '101927354', '101927364', '101927379', '101927394', '101927406', '101927410', '101927421', '101927431', '101927433', '101927434', '101927438', '101927449', '101927460', '101927464', '101927476', '101927487', '101927492', '101927498', '101927523', '101927526', '101927541', '101927574', '101927577', '101927580', '101927581', '101927586', '101927588', '101927604', '101927606', '101927616', '101927619', '101927630', '101927637', '101927641', '101927650', '101927657', '101927667', '101927686', '101927700', '101927701', '101927766', '101927769', '101927774', '101927787', '101927796', '101927829', '101927844', '101927845', '101927851', '101927876', '101927900', '101927901', '101927922', '101927924', '101927934', '101927957', '101927964', '1019"
Error in `.rowNamesDF<-`(x, value = value): duplicate 'row.names' are not allowed
Traceback:
1. constAvBetaTSS(meth_matrix, type = "850k")
2. `rownames<-`(`*tmp*`, value = probeInfo.lv$EID[group.idx])
3. `row.names<-`(`*tmp*`, value = value)
4. `row.names<-.data.frame`(`*tmp*`, value = value)
5. `.rowNamesDF<-`(x, value = value)
6. stop("duplicate 'row.names' are not allowed")
is your input a data-matrix or data-frame? the function has not been tested on data-frames. so beta.m should be a matrix object with rownames(beta.m) being unique identifiers cg....
Alright. My methylation data was indeed a data.frame. Converting it to a matrix solved it!
That is fine, but any other queries please send from your own email address and cc in your supervisor, as otherwise I will not respond. kr A
Dear EpiScore developers,
is there support to perform cell type deconvolution using WGBS data?
If not, is there a functionality to break down WGBS to 450K-, or EPIC-array CG positions?
Thank's in advance!