[Correlation Browser / New Search] [List of best correlations] [List of all variables] [Stats] [Help/About]

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
2968	201976_s_at	NM_012334	MYO10		myosin X

Fetching correlation data, please wait...
Getting list of correlations for id 2968.
Getting list of p-values for id 2968.
1 of 1 done.
Calculating corrections for multiple testing (n=23117), please wait...
Done; whole program took 0.111 seconds. Transmitting 50 results:

Rank	Label1	Label2	AccNum	GeneSym	Pearson r	Raw p	Bonferroni	FDR (BH)
1	201976_s_at	212364_at	BF432550	MYO1B	0.816072	3.194903e-21	7.385656e-17	7.385656e-17
2	201976_s_at	213435_at	AB028957	SATB2	0.784356	1.096460e-18	2.534686e-14	1.267343e-14
3	201976_s_at	211343_s_at	M33653	COL13A1	0.780452	2.101666e-18	4.858422e-14	1.619474e-14
4	201976_s_at	221729_at	AL575735	COL5A2	0.773691	6.288417e-18	1.453693e-13	3.634234e-14
5	201976_s_at	227070_at	W63754	GLT8D2	0.772971	7.050203e-18	1.629795e-13	3.259591e-14
6	201976_s_at	201117_s_at	NM_001873	CPE	0.770347	1.066308e-17	2.464984e-13	4.108307e-14
7	201976_s_at	204469_at	NM_002851	PTPRZ1	0.768058	1.523039e-17	3.520808e-13	5.029726e-14
8	201976_s_at	221730_at	NM_000393	COL5A2	0.767880	1.565541e-17	3.619061e-13	4.523826e-14
9	201976_s_at	201667_at	NM_000165	GJA1	0.762346	3.642617e-17	8.420637e-13	9.356264e-14
10	201976_s_at	212667_at	AL575922	SPARC	0.749733	2.297625e-16	5.311419e-12	5.311419e-13
11	201976_s_at	235874_at	AL574912	PRSS35	0.749713	2.304039e-16	5.326246e-12	4.842042e-13
12	201976_s_at	201579_at	NM_005245	FAT1	0.749605	2.339529e-16	5.408290e-12	4.506908e-13
13	201976_s_at	212158_at	AL577322	SDC2	0.747560	3.120890e-16	7.214562e-12	5.549663e-13
14	201976_s_at	212489_at	AI983428	COL5A1	0.744659	4.674984e-16	1.080716e-11	7.719400e-13
15	201976_s_at	212488_at	N30339	COL5A1	0.743066	5.822823e-16	1.346062e-11	8.973746e-13
16	201976_s_at	209031_at	AL519710	CADM1	0.742587	6.218379e-16	1.437503e-11	8.984392e-13
17	201976_s_at	203325_s_at	AI130969	COL5A1	0.741447	7.266641e-16	1.679829e-11	9.881349e-13
18	201976_s_at	227038_at	AI963083	SGMS2	0.737466	1.244172e-15	2.876151e-11	1.597862e-12
19	201976_s_at	205908_s_at	NM_005014	OMD	0.734003	1.971069e-15	4.556520e-11	2.398169e-12
20	201976_s_at	202283_at	NM_002615	SERPINF1	0.728393	4.090849e-15	9.456815e-11	4.728407e-12
21	201976_s_at	226311_at	BF058422	ADAMTS2	0.728030	4.286074e-15	9.908117e-11	4.718151e-12
22	201976_s_at	214043_at	BF062299	PTPRD	0.725574	5.864101e-15	1.355604e-10	6.161838e-12
23	201976_s_at	200665_s_at	NM_003118	SPARC	0.725207	6.143637e-15	1.420225e-10	6.174889e-12
24	201976_s_at	205907_s_at	AI765819	OMD	0.723124	7.990882e-15	1.847252e-10	7.696884e-12
25	201976_s_at	212157_at	BE048514	SDC2	0.721748	9.493017e-15	2.194501e-10	8.778003e-12
26	201976_s_at	213909_at	AU147799	LRRC15	0.719946	1.187838e-14	2.745926e-10	1.056125e-11
27	201976_s_at	236028_at	BE466675	IBSP	0.719366	1.276119e-14	2.950004e-10	1.092594e-11
28	201976_s_at	219561_at	NM_016429	COPZ2	0.716936	1.720435e-14	3.977129e-10	1.420403e-11
29	201976_s_at	205139_s_at	NM_005715	UST	0.716293	1.861037e-14	4.302160e-10	1.483504e-11
30	201976_s_at	202421_at	AB007935	IGSF3	0.715658	2.010742e-14	4.648232e-10	1.549411e-11
31	201976_s_at	215446_s_at	L16895	LOX	0.704447	7.615829e-14	1.760551e-9	5.679197e-11
32	201976_s_at	203304_at	NM_012342	BAMBI	0.703984	8.035809e-14	1.857638e-9	5.805119e-11
33	201976_s_at	225308_s_at	AB051515	TANC1	0.703520	8.478878e-14	1.960062e-9	5.939582e-11
34	201976_s_at	221872_at	AI669229	RARRES1	0.703173	8.826250e-14	2.040364e-9	6.001071e-11
35	201976_s_at	212624_s_at	BF339445	CHN1	0.700166	1.246094e-13	2.880596e-9	8.230275e-11
36	201976_s_at	229802_at	AA147884		0.700057	1.261650e-13	2.916556e-9	8.101543e-11
37	201976_s_at	204955_at	NM_006307	SRPX	0.699074	1.410808e-13	3.261364e-9	8.814497e-11
38	201976_s_at	229218_at	AA628535	COL1A2	0.697625	1.662292e-13	3.842721e-9	1.011242e-10
39	201976_s_at	213068_at	AI146848	DPT	0.694050	2.480711e-13	5.734659e-9	1.470425e-10
40	201976_s_at	225016_at	N48299	APCDD1	0.693219	2.720310e-13	6.288542e-9	1.572135e-10
41	201976_s_at	211809_x_at	M59217	COL13A1	0.692978	2.793786e-13	6.458395e-9	1.575218e-10
42	201976_s_at	227628_at	AL571557	GPX8	0.691967	3.124055e-13	7.221878e-9	1.719495e-10
43	201976_s_at	218162_at	NM_020190	OLFML3	0.691661	3.231051e-13	7.469222e-9	1.737028e-10
44	201976_s_at	203216_s_at	NM_004999	MYO6	0.690922	3.504792e-13	8.102028e-9	1.841370e-10
45	201976_s_at	202403_s_at	AA788711	COL1A2	0.690887	3.518356e-13	8.133382e-9	1.807418e-10
46	201976_s_at	212850_s_at	AA584297	LRP4	0.690690	3.595042e-13	8.310658e-9	1.806665e-10
47	201976_s_at	206392_s_at	NM_002888	RARRES1	0.689836	3.947588e-13	9.125640e-9	1.941625e-10
48	201976_s_at	201261_x_at	BC002416	BGN	0.689728	3.994377e-13	9.233801e-9	1.923708e-10
49	201976_s_at	226022_at	AU144882	SASH1	0.687157	5.282400e-13	1.221132e-8	2.492107e-10
50	201976_s_at	212110_at	D31887	SLC39A14	0.686577	5.623609e-13	1.300010e-8	2.600019e-10

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.

Search Options: Find correlations between...
Gene/Label/Number:	and (Empty also means "all others")
Output Options
Restrict output to	miRs, Transcription factors? (Empty: No restrictions.)
	with keyword:
	KEGG Pathway:
Limit output to	rows.
Remove	"self correlations", i.e. correlations of a variable with itself
Sort results by	positive, negative or absolute value of correlation