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Correlations in the bone dataset

Use the form to search for:

an EntrezGene ID (e.g. "1234")
an Accession Number (e.g. "BE644809" or "NM_005715")
a Gene Symbol (e.g. "HMGCR" or "ZNF532", not case-sensitive)
a variable label (e.g. "1562529_s_at" or "hsa-miR-29c*")
a variable number (e.g. "#1234" for the 1234^th variable in the dataset)

(View the full list of available key terms [here]).

Starting timer.
Connected to database.
Searching for user input in variable labels, Entrez IDs, Accession Numbers...
Evaluating targets, filters and restrictions...

Finding correlations with 1 variable:
id	Label1	AccNum	GeneSym	Info	Gene Name
2823	201816_s_at	NM_001483	GBAS		glioblastoma amplified sequence

Fetching correlation data, please wait...
Getting list of correlations for id 2823.
Getting list of p-values for id 2823.
1 of 1 done.
Calculating corrections for multiple testing (n=23117), please wait...
Done; whole program took 0.169 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	201816_s_at	234982_at	BF577193	UBR3	0.909174	6.100386e-33	1.410226e-28	1.410226e-28
2	201816_s_at	228347_at	N79004	SIX1	0.909138	6.194567e-33	1.431998e-28	7.159991e-29
3	201816_s_at	203566_s_at	NM_000645	AGL	0.902737	8.858771e-32	2.047882e-27	6.826274e-28
4	201816_s_at	225665_at	AI129320	ZAK	0.902736	8.862856e-32	2.048826e-27	5.122066e-28
5	201816_s_at	218204_s_at	NM_024513	FYCO1	0.899002	3.847116e-31	8.893379e-27	1.778676e-27
6	201816_s_at	203335_at	NM_006214	PHYH	0.898146	5.341699e-31	1.234841e-26	2.058068e-27
7	201816_s_at	224352_s_at	AF134802	CFL2	0.897907	5.852182e-31	1.352849e-26	1.932641e-27
8	201816_s_at	206833_s_at	NM_001108	ACYP2	0.896638	9.461117e-31	2.187126e-26	2.733908e-27
9	201816_s_at	222924_at	BF526855	SLMAP	0.896363	1.049281e-30	2.425624e-26	2.695138e-27
10	201816_s_at	225878_at	AL135264	KIF1B	0.895035	1.720809e-30	3.977994e-26	3.977994e-27
11	201816_s_at	204612_at	NM_006823	PKIA	0.892416	4.478820e-30	1.035369e-25	9.412443e-27
12	201816_s_at	201849_at	NM_004052	BNIP3	0.891546	6.120834e-30	1.414953e-25	1.179128e-26
13	201816_s_at	225338_at	AI767447	ZYG11B	0.887568	2.469828e-29	5.709500e-25	4.391923e-26
14	201816_s_at	202930_s_at	NM_003850	SUCLA2	0.886627	3.408461e-29	7.879339e-25	5.628099e-26
15	201816_s_at	228202_at	AI969945	PLN	0.886037	4.166717e-29	9.632199e-25	6.421466e-26
16	201816_s_at	209633_at	AL389975	PPP2R3A	0.885918	4.336863e-29	1.002553e-24	6.265953e-26
17	201816_s_at	235183_at	AI479277		0.885193	5.541190e-29	1.280957e-24	7.535041e-26
18	201816_s_at	225747_at	AL521634	COQ10A	0.883934	8.442104e-29	1.951561e-24	1.084201e-25
19	201816_s_at	219949_at	NM_024512	LRRC2	0.882616	1.305271e-28	3.017395e-24	1.588103e-25
20	201816_s_at	230029_x_at	AI708334	UBR3	0.882566	1.326946e-28	3.067501e-24	1.533751e-25
21	201816_s_at	203340_s_at	NM_003705	SLC25A12	0.880121	2.935991e-28	6.787130e-24	3.231967e-25
22	201816_s_at	207558_s_at	NM_000325	PITX2	0.878538	4.865222e-28	1.124693e-23	5.112242e-25
23	201816_s_at	202565_s_at	NM_003174	SVIL	0.877967	5.827987e-28	1.347256e-23	5.857634e-25
24	201816_s_at	218094_s_at	NM_018478		0.877654	6.431190e-28	1.486698e-23	6.194576e-25
25	201816_s_at	212093_s_at	AI695017	MTUS1	0.873695	2.185995e-27	5.053364e-23	2.021345e-24
26	201816_s_at	212845_at	AB028976	SAMD4A	0.872852	2.821835e-27	6.523236e-23	2.508937e-24
27	201816_s_at	224663_s_at	BF576053	CFL2	0.872630	3.016541e-27	6.973337e-23	2.582717e-24
28	201816_s_at	34408_at	AF004222	RTN2	0.872151	3.483598e-27	8.053035e-23	2.876084e-24
29	201816_s_at	222471_s_at	AI743396	KCMF1	0.872091	3.547281e-27	8.200250e-23	2.827673e-24
30	201816_s_at	209632_at	AI760130	PPP2R3A	0.872015	3.628657e-27	8.388366e-23	2.796122e-24
31	201816_s_at	201975_at	NM_002956	CLIP1	0.871196	4.633869e-27	1.071211e-22	3.455521e-24
32	201816_s_at	218970_s_at	NM_015960	CUTC	0.870617	5.503393e-27	1.272219e-22	3.975685e-24
33	201816_s_at	222919_at	AA192306	TRDN	0.869579	7.472514e-27	1.727421e-22	5.234609e-24
34	201816_s_at	1556325_at	AL832009	FILIP1	0.867840	1.240451e-26	2.867551e-22	8.433972e-24
35	201816_s_at	209700_x_at	AB042555	PDE4DIP	0.866937	1.609367e-26	3.720374e-22	1.062964e-23
36	201816_s_at	217911_s_at	NM_004281	BAG3	0.866845	1.652734e-26	3.820625e-22	1.061285e-23
37	201816_s_at	228396_at	AW274503	PRKG1	0.866667	1.739087e-26	4.020248e-22	1.086554e-23
38	201816_s_at	222572_at	BG542521	PDP1	0.866186	1.995816e-26	4.613727e-22	1.214139e-23
39	201816_s_at	210299_s_at	AF063002	FHL1	0.866066	2.065539e-26	4.774907e-22	1.224335e-23
40	201816_s_at	212096_s_at	AL096842	MTUS1	0.865008	2.788971e-26	6.447264e-22	1.611816e-23
41	201816_s_at	213317_at	AL049313	CLIC5	0.864925	2.855639e-26	6.601380e-22	1.610093e-23
42	201816_s_at	212254_s_at	AI798790	DST	0.864320	3.386607e-26	7.828820e-22	1.864005e-23
43	201816_s_at	233496_s_at	AV726166	CFL2	0.863835	3.880903e-26	8.971484e-22	2.086392e-23
44	201816_s_at	213149_at	AW299740	DLAT	0.862536	5.574844e-26	1.288737e-21	2.928947e-23
45	201816_s_at	204940_at	NM_002667	PLN	0.860250	1.045011e-25	2.415752e-21	5.368338e-23
46	201816_s_at	213547_at	AB014567	CAND2	0.859949	1.134237e-25	2.622017e-21	5.700037e-23
47	201816_s_at	235173_at	AA093668	LOC401093	0.859920	1.143089e-25	2.642478e-21	5.622294e-23
48	201816_s_at	202289_s_at	NM_006997	TACC2	0.859517	1.275213e-25	2.947910e-21	6.141480e-23
49	201816_s_at	226103_at	AF114264	NEXN	0.859142	1.411546e-25	3.263072e-21	6.659330e-23
50	201816_s_at	227532_at	BF111992	LRRC39	0.859004	1.465282e-25	3.387293e-21	6.774586e-23

Note that correlations with a raw p-value above 0.05 may have been removed from the results.

Correlation Browser 2.0: Daniel Sachse, Sjur Reppe, Kåre Gautvik - 2013.

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