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Table 21 Regressing psi against sequence information

From: Ridge regression estimated linear probability model predictions of O-glycosylation in proteins with structural and sequence data

Variable β White’s |t| Variable β White’s |t| Variable β White’s |t|
intercept 164.7095 15.76 m6T -27.7795 2.28 p4P -63.4680 6.26
m1E -41.8628 2.97 m7E 43.9542 5.47 p5C -73.2859 4.80
m1F 13.3555 1.67 m7K -32.2923 3.01 p5E -59.8629 6.27
m1G -39.8688 5.61 m7L 29.8517 3.96 p5F -46.9835 3.43
m1I 39.5770 4.07 m7V -47.2830 5.75 p5H -103.8328 6.47
m1P -88.6389 2.43 m7Y -21.9592 1.70 p5K -46.4349 5.08
m1S 22.2152 2.37 m8G 26.2222 2.74 p5M -55.0010 2.58
m1V 22.1718 2.53 m8I -26.1921 1.96 p5R -49.2451 3.17
m1W -56.8472 1.73 m8K 39.6707 3.18 p5T -26.0844 3.06
m3C -107.3697 7.69 m8L -59.0523 7.31 p5W -92.6251 6.31
m3H -34.3322 2.59 m8M -79.0357 3.70 p6C 45.0324 4.28
m3I 55.7918 3.38 m8Q -48.2257 3.54 p6M -103.3734 6.33
m3P -60.7537 6.03 m8V 20.4134 1.93 p6R 42.4221 4.59
m3Q -91.6187 6.83 p1E 21.3198 2.71 p6S 33.0045 3.96
m3R -78.6022 7.07 p1I 57.7033 3.69 p6W 78.9544 2.14
m3S -58.6653 4.59 p1P 168.9937 4.72 p7M -30.9223 2.37
m3Y -43.6250 4.75 p1T 25.9053 2.81 p7Q -74.3226 5.24
m4A -22.2813 3.06 p2A -32.4674 2.98 p7S -27.8055 2.90
m4D 34.2970 2.86 p2I -51.3731 6.62 p7V -25.1988 2.55
m4F -30.2667 2.51 p2Q 22.8051 2.34 p7W -126.1256 5.32
m4H 42.5802 2.67 p2R -73.2310 6.60 p7Y -33.3375 3.33
m4I 52.7538 6.23 p2T -24.7715 2.04 p8C -32.8242 2.11
m4S -17.8569 2.04 p2V 28.9007 3.16 p8G 24.3492 3.24
m5C -61.3798 5.19 p3A -33.2607 3.75 p8K -26.5478 3.16
m5M -50.2581 2.77 p3L -32.1617 3.65 p8Q 30.6688 2.49
m5N -45.0953 2.62 p3Q 44.6698 2.94 p8S 47.6755 4.08
m5Q 36.6723 4.03 p3T -34.4732 3.71 p8V 24.9615 3.24
m5R 36.6709 4.25 p4A -22.9135 2.38 p8Y 29.0752 2.56
m6A -51.1224 3.88 p4C -54.2233 3.33 pos -45.3919 4.67
m6D -31.7667 2.24 p4D 35.4777 3.29 ASA -0.6246 5.84
m6K -16.0558 2.11 p4E 53.4754 6.01  
m6L -30.2475 3.66 p4F 41.2684 3.29
m6P -62.2979 6.04 p4G 19.1452 2.11
m6R -22.4489 2.12 p4L -21.9163 2.72
m6S 30.1454 3.69 p4N 31.5863 1.94