>log-odds matrix ARNTL_CLOCK: alength= 4 w= 10 n= 0 bayes= 0 E= 0 3 -37 8 19 18 -51 86 -152 -71 -178 -66 130 -497 197 -564 -516 189 -311 -416 -292 -438 191 -416 -276 -172 -364 185 -538 -272 -221 -284 180 -564 -480 184 -146 34 25 -85 -2 >log-odds matrix CEBPb: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -107 -107 35 83 120 -138 33 -380 -638 -797 -638 199 -564 -638 -211 190 9 -797 133 -128 -451 183 -344 -174 -132 -397 178 -316 -101 107 -697 48 186 -154 -597 -638 199 -697 -797 -564 -327 25 -110 116 >log-odds matrix CTCF: alength= 4 w= 15 n= 0 bayes= 0 E= 0 43 -101 56 -55 -76 135 -120 -125 -206 186 -372 -397 41 -170 81 -72 -57 87 30 -184 -84 -37 -101 112 157 -276 -81 -164 -388 -406 193 -397 -20 -451 160 -416 -301 -176 142 -15 -564 -638 196 -364 -380 -272 180 -172 -192 167 -194 -182 -75 -227 162 -292 -132 102 -63 -11 >log-odds matrix EN1: alength= 4 w= 8 n= 0 bayes= 0 E= 0 70 -47 56 -244 -54 49 -44 23 -516 37 -697 142 194 -480 -327 -516 199 -697 -697 -697 -697 -697 -697 199 -516 -201 -497 188 172 -697 -64 -438 >log-odds matrix FLI1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -51 50 -72 35 140 -197 -23 -194 -357 103 -280 79 -1 -797 -480 157 -697 -797 -797 199 -797 200 -797 -797 -797 200 -797 -797 -797 -451 167 -38 -254 -92 150 -106 -70 -37 -172 121 >log-odds matrix FOSL2: alength= 4 w= 8 n= 0 bayes= 0 E= 0 109 -146 40 -247 -238 -178 -311 177 -111 -241 145 -70 168 -178 -264 -157 -45 59 20 -71 -108 -268 -63 145 -49 132 -224 -78 166 -268 -151 -163 >log-odds matrix FOSL2_secondary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 114 -111 21 -254 -357 -140 -316 178 -321 -357 167 -65 181 -316 -254 -232 -301 171 -311 -105 -106 -332 172 -292 -238 -268 -297 182 -66 166 -332 -311 177 -338 -132 -351 -257 19 -106 115 >log-odds matrix FOXP2: alength= 4 w= 10 n= 0 bayes= 0 E= 0 45 -87 -41 41 -2 -29 -11 34 -8 -131 -135 118 -264 -388 -244 184 34 -480 138 -332 -264 -351 -311 186 -216 -388 -143 174 -254 -480 -62 165 164 -397 -194 -84 -166 108 -216 44 >log-odds matrix GABPA: alength= 4 w= 11 n= 0 bayes= 0 E= 0 97 -107 9 -99 -77 132 -48 -238 -53 171 -497 -797 -797 -797 200 -797 -797 -797 200 -797 199 -797 -797 -697 145 -397 -797 25 51 -178 117 -464 -156 -27 -168 133 39 -55 27 -32 22 -18 31 -50 >log-odds matrix GATA3: alength= 4 w= 8 n= 0 bayes= 0 E= 0 101 -15 -797 12 -10000 -10000 200 -10000 200 -10000 -10000 -10000 -10000 -10000 -10000 200 187 -697 -10000 -159 179 -406 -172 -241 -113 27 93 -120 76 -41 36 -188 >log-odds matrix GCM1: alength= 4 w= 9 n= 0 bayes= 0 E= 0 -120 30 -92 85 132 -564 55 -538 -10000 200 -10000 -10000 -10000 200 -10000 -10000 -95 175 -797 -316 -327 -213 175 -168 -10000 157 -280 -16 199 -10000 -638 -697 -638 -91 -84 153 >log-odds matrix JUNB_FOSB_primary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -107 -46 78 11 126 -204 36 -364 -797 -10000 -797 200 -797 -10000 197 -372 200 -797 -797 -797 -288 125 31 -204 -697 -797 -268 194 -39 169 -797 -797 200 -10000 -797 -797 -276 5 -99 121 >log-odds matrix JUNB_FOSB_secondary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 117 -208 56 -438 -306 -280 -397 187 -427 -244 149 -5 180 -251 -206 -316 -306 175 -321 -131 -227 -284 184 -364 -216 -164 -316 174 -53 163 -280 -406 188 -397 -306 -301 -451 6 -194 141 >log-odds matrix JUNB_FOSL1_primary: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -8 11 -36 26 -21 -78 59 7 118 -132 20 -241 -344 -397 -397 192 -280 -357 182 -199 187 -364 -357 -257 -199 132 -34 -115 -208 -344 -112 168 12 145 -480 -276 185 -357 -272 -276 -224 -15 -56 114 26 25 -29 -34 -2 26 -16 -12 >log-odds matrix JUNB_FOSL2_primary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -73 -61 70 15 131 -224 33 -427 -10000 -10000 -10000 200 -10000 -10000 198 -416 200 -10000 -10000 -10000 -221 118 22 -156 -797 -10000 -327 196 -57 173 -10000 -10000 200 -10000 -10000 -10000 -284 1 -116 127 >log-odds matrix JUNB_FOSL2_secondary: alength= 4 w= 12 n= 0 bayes= 0 E= 0 -14 -74 52 7 135 -194 10 -311 -497 -388 -538 195 -438 -357 164 -42 196 -564 -427 -464 -464 185 -388 -176 -176 -397 185 -464 -464 -438 -538 196 -43 164 -344 -427 195 -564 -372 -497 -316 9 -190 135 7 52 -73 -13 >log-odds matrix JUNB_FOS_primary: alength= 4 w= 12 n= 0 bayes= 0 E= 0 -52 -57 57 19 125 -125 9 -280 -797 -797 -797 200 -797 -797 180 -93 195 -306 -797 -597 -238 31 131 -332 -797 -797 -638 199 -321 196 -797 -797 200 -797 -797 -797 -516 18 -229 140 14 54 -49 -44 18 28 3 -68 >log-odds matrix JUNB_primary: alength= 4 w= 8 n= 0 bayes= 0 E= 0 126 -70 -33 -232 -321 -351 -372 190 -416 -166 159 -69 192 -397 -388 -351 -254 146 -49 -143 -201 -372 -27 151 -68 150 -251 -144 180 -327 -221 -238 >log-odds matrix JUNB_secondary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 108 -129 13 -138 -254 -332 -280 184 -301 -186 128 22 177 -364 -192 -197 -306 172 -204 -157 -159 -211 173 -297 -201 -199 -344 177 21 128 -180 -292 184 -292 -311 -247 -140 12 -125 108 >log-odds matrix JUND_FOSB_primary: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -31 -14 -27 54 92 -168 -29 -2 -159 -174 -261 168 -26 -197 100 -13 151 -135 -172 -116 -39 117 -184 -49 -5 -180 -164 128 6 79 -188 -6 145 -157 -92 -132 -26 -65 -134 109 57 -43 -63 17 >log-odds matrix JUND_FOSL1_primary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 8 -18 16 -9 114 -98 17 -264 -306 -344 -288 187 -351 -204 164 -84 179 -438 -161 -261 -235 122 -39 -47 -135 -247 -42 142 11 136 -332 -197 187 -264 -388 -301 -52 -24 -80 91 >log-odds matrix JUND_FOSL1_secondary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 117 -174 37 -264 -280 -232 -251 180 -268 -131 164 -161 180 -247 -261 -251 -297 174 -197 -188 -111 -208 138 -51 -110 7 -268 122 113 40 -159 -261 137 -192 -132 -41 -102 68 -161 66 >log-odds matrix JUND_FOSL2_primary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -87 -81 84 14 134 -206 22 -416 -10000 -10000 -10000 200 -10000 -10000 199 -464 200 -797 -10000 -10000 -244 127 22 -211 -538 -10000 -206 190 -84 178 -10000 -10000 200 -10000 -10000 -10000 -272 9 -115 122 >log-odds matrix JUND_FOSL2_secondary: alength= 4 w= 15 n= 0 bayes= 0 E= 0 -34 -50 19 44 -19 -40 44 1 116 -247 44 -213 -327 -321 -464 191 -516 -244 144 10 192 -538 -301 -364 -438 187 -284 -261 -89 -406 172 -316 -316 -438 -464 193 -292 191 -406 -451 196 -538 -451 -451 -344 46 -218 121 -20 80 -127 -3 -63 -17 73 -32 -1 20 -5 -16 >log-odds matrix JUND_FOS_primary: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -45 -4 33 5 -46 -58 64 7 125 -127 9 -272 -10000 -797 -10000 200 -10000 -10000 180 -95 184 -146 -10000 -406 -174 -264 179 -372 -10000 -10000 -10000 200 -311 196 -10000 -10000 200 -10000 -10000 -10000 -357 21 -170 129 0 57 -36 -43 8 8 22 -47 >log-odds matrix JUND_primary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -8 -107 37 36 128 -140 3 -257 -416 -364 -306 190 -261 -297 183 -272 135 35 -406 -321 -174 -178 171 -280 -397 -416 -372 193 -174 183 -427 -338 191 -416 -288 -416 -388 -24 -184 149 >log-odds matrix JUND_secondary: alength= 4 w= 11 n= 0 bayes= 0 E= 0 122 -89 -46 -128 -227 -251 -251 178 -204 -224 166 -140 176 -327 -166 -232 -227 144 -86 -94 -163 -251 164 -138 -199 -156 -284 171 67 85 -127 -241 167 -241 -213 -129 -50 -33 -71 92 -16 67 -56 -26 >log-odds matrix JUN_FOSB_primary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -43 -38 39 23 119 -111 17 -306 -797 -797 -797 200 -797 -797 191 -211 200 -797 -797 -797 -288 151 -104 -90 -206 -797 -38 158 -7 158 -697 -480 198 -697 -451 -797 -152 22 -77 92 >log-odds matrix JUN_FOSB_secondary: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -37 -184 120 -63 138 -152 -21 -238 -438 -464 -438 195 -388 -464 180 -132 193 -497 -388 -364 -238 183 -332 -257 -174 -416 184 -416 -332 -213 -416 185 -2 148 -364 -280 192 -397 -416 -357 -144 6 -224 125 >log-odds matrix JUN_FOSL1_primary: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -27 -2 2 23 -54 -65 60 21 127 -149 18 -327 -797 -697 -797 199 -638 -697 194 -272 199 -697 -697 -638 -327 172 -229 -137 -292 -697 -84 172 -65 174 -697 -597 198 -597 -480 -597 -213 -3 -107 121 24 30 -53 -16 15 21 -8 -35 >log-odds matrix JUN_FOSL1_secondary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 135 -186 9 -327 -316 -306 -338 188 -292 -216 143 -6 172 -327 -124 -254 -351 176 -272 -140 -143 -280 176 -338 -261 -125 -321 173 -7 142 -211 -284 187 -351 -301 -306 -338 8 -182 136 >log-odds matrix JUN_FOSL2_primary: alength= 4 w= 12 n= 0 bayes= 0 E= 0 -40 -1 24 10 -22 -48 44 11 112 -105 17 -218 -797 -797 -797 200 -797 -797 175 -66 176 -102 -797 -311 -128 -83 148 -211 -797 -797 -797 200 -364 197 -797 -797 200 -10000 -797 -797 -372 26 -143 124 11 45 -47 -26 >log-odds matrix JUN_FOSL2_secondary: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -17 -141 88 -16 134 -306 37 -406 -538 -497 -497 197 -516 -416 187 -201 195 -538 -480 -344 -451 186 -351 -204 -144 -247 176 -388 -416 -184 -480 186 49 132 -397 -497 194 -464 -427 -406 -272 -20 -59 121 >log-odds matrix JUN_FOS_primary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 124 -117 4 -264 -638 -564 -697 199 -516 -797 172 -57 171 -93 -597 -247 -168 -47 146 -221 -564 -697 -697 199 -306 195 -638 -597 199 -697 -697 -597 -338 32 -140 118 15 67 -61 -63 >log-odds matrix JUN_FOS_secondary: alength= 4 w= 16 n= 0 bayes= 0 E= 0 9 -199 75 1 115 -247 56 -306 -241 -176 -201 171 -257 -116 139 -39 158 -301 -89 -154 -164 175 -261 -261 -93 -113 153 -288 -264 -344 -297 186 -224 176 -251 -213 186 -338 -280 -292 -306 -10 -206 144 26 37 -64 -18 37 32 -63 -29 -40 -49 6 57 -63 -174 -7 107 -30 22 -27 25 >log-odds matrix JUN_JUNB_primary: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -30 -97 71 6 133 -90 -40 -232 -451 -464 -288 192 -464 -357 188 -241 192 -464 -316 -380 -321 172 -112 -292 -211 -338 50 118 -63 150 -464 -104 190 -338 -380 -321 -41 -1 -197 100 >log-odds matrix JUN_JUNB_secondary: alength= 4 w= 12 n= 0 bayes= 0 E= 0 -221 -92 52 87 59 -121 96 -306 -211 -254 -332 181 -229 -316 149 -20 165 -351 -199 -95 -344 179 -241 -188 -218 -280 179 -257 -306 -321 -264 185 -146 174 -284 -264 188 -372 -284 -327 -292 -100 -94 151 -24 2 3 15 >log-odds matrix JUN_primary: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -89 -32 31 51 175 -344 -111 -364 -497 -564 -451 196 -397 -538 189 -229 144 28 -516 -451 -372 -327 191 -397 -516 -497 -480 196 -388 195 -480 -451 196 -538 -497 -480 -357 -31 -188 150 -32 81 -39 -56 >log-odds matrix JUN_secondary: alength= 4 w= 17 n= 0 bayes= 0 E= 0 56 -4 -45 -28 -17 -58 -30 70 26 -72 31 -6 -72 -190 93 29 155 -272 -24 -364 -388 -338 -388 191 -364 -427 181 -147 190 -380 -344 -327 -297 187 -321 -316 -218 -227 169 -151 -211 -80 -416 165 6 145 -416 -257 187 -380 -344 -244 -91 -37 -112 116 5 43 -51 -12 -10 62 21 -143 -56 -43 32 41 >log-odds matrix LEF1: alength= 4 w= 10 n= 0 bayes= 0 E= 0 13 -40 -33 44 -91 28 3 31 -90 84 -40 -11 -480 163 -95 -151 -427 -380 -538 195 -538 -597 -564 198 -438 -697 -697 198 -380 -152 176 -244 194 -697 -564 -297 0 -638 -638 157 >log-odds matrix LHX6: alength= 4 w= 8 n= 0 bayes= 0 E= 0 47 -13 14 -75 -124 41 -129 88 -797 -797 -10000 200 133 -697 56 -797 200 -10000 -10000 -797 -10000 -10000 -10000 200 -797 -697 -564 199 150 -10000 23 -697 >log-odds matrix MAX: alength= 4 w= 6 n= 0 bayes= 0 E= 0 -516 199 -10000 -10000 189 -10000 -182 -697 -10000 174 -797 -61 -321 -10000 196 -10000 -797 -297 -10000 195 -10000 -10000 200 -797 >log-odds matrix MYF6: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -213 24 -2 69 140 -168 -31 -208 154 -86 -159 -221 -327 187 -344 -268 180 -254 -221 -301 -192 -172 134 -17 -62 -58 4 73 -344 -254 -301 185 -216 -327 184 -332 38 -64 -54 45 -117 33 -116 89 >log-odds matrix NFKB1: alength= 4 w= 13 n= 0 bayes= 0 E= 0 16 -19 40 -52 -316 -284 186 -311 -597 -564 197 -464 -406 -451 138 38 63 -438 96 -108 28 30 -41 -31 -54 -178 -163 143 -208 -32 -88 128 -156 106 -357 58 -47 163 -516 -276 -451 197 -597 -538 -186 174 -224 -247 -74 35 -6 22 >log-odds matrix NR1H4: alength= 4 w= 11 n= 0 bayes= 0 E= 0 -4 -292 75 28 131 -211 -7 -161 -261 -159 171 -216 -140 -151 118 -1 -102 -272 -140 157 -297 167 -264 -95 174 -284 -154 -244 75 -41 -221 44 49 7 -106 9 -197 -272 77 91 23 -288 48 37 >log-odds matrix NR1H4_RXRa: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -17 -99 96 -59 47 -221 102 -143 -144 -146 158 -186 -284 -208 155 -54 -276 -227 -213 177 -144 130 -88 -68 174 -311 -118 -321 99 -113 -5 -74 108 -257 60 -227 -107 -272 151 -94 -122 -208 139 -48 -122 -218 22 112 -159 44 -2 40 >log-odds matrix NR1H4_RXRa_2: alength= 4 w= 15 n= 0 bayes= 0 E= 0 -16 -54 85 -70 139 -218 16 -451 -311 -406 191 -372 -351 -480 137 37 -338 -235 -131 172 -451 181 -427 -132 153 -427 -1 -388 -80 -105 -174 140 -344 -144 -238 175 -121 -129 159 -276 161 -116 -168 -238 -90 163 -480 -159 -115 167 -272 -229 -332 62 -182 106 -140 32 -24 60 >log-odds matrix NR4A2: alength= 4 w= 9 n= 0 bayes= 0 E= 0 24 -46 -57 51 163 -480 -176 -83 183 -451 -372 -163 192 -438 -316 -451 -338 -564 150 7 -235 -516 180 -176 -397 -211 -122 171 -321 142 -188 -6 173 -451 -98 -297 >log-odds matrix NR4A2_RXRa: alength= 4 w= 15 n= 0 bayes= 0 E= 0 20 -24 57 -94 99 -101 48 -311 -364 -451 189 -244 -229 -516 169 -85 -244 -90 -97 147 -516 172 -301 -86 124 -272 46 -321 -1 -206 -152 127 -697 -186 -564 189 -184 -161 174 -438 189 -221 -388 -638 -67 173 -697 -451 -264 191 -597 -364 -564 110 -344 81 -127 92 -47 -4 >log-odds matrix OCT4: alength= 4 w= 12 n= 0 bayes= 0 E= 0 78 -2 -88 -41 157 -164 -254 -90 -357 -516 -697 196 -101 -94 -372 154 66 -464 -797 125 56 -146 104 -332 -137 185 -797 -797 199 -797 -564 -697 -388 -416 -797 195 157 -241 -159 -95 60 -28 -137 35 10 -41 -35 48 >log-odds matrix PAX7: alength= 4 w= 13 n= 0 bayes= 0 E= 0 71 -52 -23 -31 111 -131 -32 -65 -406 106 86 -480 -697 175 -564 -74 -35 -480 162 -338 -292 -327 -116 173 41 -464 134 -338 163 -406 -186 -83 -306 194 -797 -516 -161 -121 51 86 191 -538 -229 -538 197 -797 -497 -464 -221 -280 -427 184 >log-odds matrix PPARa_RXRa: alength= 4 w= 18 n= 0 bayes= 0 E= 0 113 -84 -121 -29 79 -178 -206 81 -2 -24 41 -25 -204 -141 -7 128 98 -140 57 -257 -188 -372 175 -182 -164 -406 178 -235 -257 -67 -3 115 -93 83 -31 -16 183 -397 -190 -306 142 -338 -27 -134 169 -332 -81 -332 -117 -397 179 -451 -380 -416 165 -44 -388 -235 -112 171 -147 126 -78 -59 146 -276 -12 -254 -17 -8 -4 25 >log-odds matrix PPARg: alength= 4 w= 12 n= 0 bayes= 0 E= 0 99 -80 -112 -2 95 -261 -192 71 -31 9 26 -10 -199 -143 -73 147 98 -297 84 -311 -297 -397 175 -118 -261 -276 177 -186 -204 -115 -6 123 -137 101 -127 23 177 -338 -261 -164 -26 41 6 -33 -116 -28 -20 90 >log-odds matrix PPARg_RXRa: alength= 4 w= 17 n= 0 bayes= 0 E= 0 20 1 -1 -22 33 -88 27 -1 86 -141 42 -111 -261 -451 188 -332 -344 -464 173 -84 -241 -151 6 127 -137 116 -163 7 185 -351 -416 -206 101 -31 -84 -69 68 -182 -51 50 130 -224 24 -280 -229 -311 182 -284 -406 -397 169 -64 -194 -166 -26 137 -235 152 -129 -90 156 -406 -34 -232 -28 43 -1 -26 >log-odds matrix RARa: alength= 4 w= 7 n= 0 bayes= 0 E= 0 96 -154 28 -98 162 -416 -21 -797 -797 -797 200 -697 -797 -797 168 -33 -638 -638 -332 196 -697 193 -538 -268 196 -797 -327 -797 >log-odds matrix RARa_RXRa: alength= 4 w= 18 n= 0 bayes= 0 E= 0 46 -115 72 -95 99 -272 88 -538 -427 -638 193 -306 -451 -638 173 -66 -564 -406 -182 186 -380 173 -211 -143 181 -564 -117 -464 12 -6 -70 42 -22 -1 36 -22 -24 -24 12 29 46 -33 -11 -14 48 -91 67 -105 99 -147 64 -332 -327 -597 189 -254 -438 -564 170 -56 -206 -116 -15 127 -178 148 -137 -89 149 -224 -28 -264 >log-odds matrix RARa_RXRg: alength= 4 w= 18 n= 0 bayes= 0 E= 0 46 -115 72 -95 99 -272 88 -538 -427 -638 193 -306 -451 -638 173 -66 -564 -406 -182 186 -380 173 -211 -143 181 -564 -117 -464 12 -6 -70 42 -22 -1 36 -22 -24 -24 12 29 46 -33 -11 -14 48 -91 67 -105 99 -147 64 -332 -327 -597 189 -254 -438 -564 170 -56 -206 -116 -15 127 -178 148 -137 -89 149 -224 -28 -264 >log-odds matrix RORb: alength= 4 w= 11 n= 0 bayes= 0 E= 0 165 -416 -311 -54 107 -327 -338 77 -10 -63 -31 69 -224 -60 -9 113 127 -416 52 -327 -397 -332 186 -227 -297 -427 189 -321 -316 -78 -232 163 -241 164 -388 -69 184 -406 -199 -327 -29 38 -79 37 >log-odds matrix RORc: alength= 4 w= 12 n= 0 bayes= 0 E= 0 29 -48 6 3 40 -113 -83 73 177 -416 -451 -106 108 -464 -297 79 -15 -1 15 -1 -254 -152 -111 159 132 -338 46 -451 -564 -697 188 -176 -280 -638 193 -497 -208 -116 -57 140 -538 172 -372 -71 165 -438 -63 -257 >log-odds matrix RXRa: alength= 4 w= 7 n= 0 bayes= 0 E= 0 85 -122 33 -97 151 -388 12 -797 -797 -797 200 -797 -797 -797 167 -29 -797 -697 -451 198 -797 197 -697 -406 199 -797 -564 -797 >log-odds matrix RXRg: alength= 4 w= 15 n= 0 bayes= 0 E= 0 84 -206 79 -204 -152 -216 169 -238 -188 -301 157 -63 -241 -89 -127 151 -111 105 -23 -70 173 -235 -251 -164 140 -118 -102 -124 129 -316 46 -397 -113 -380 165 -163 -208 -397 160 -57 -338 -201 -117 168 -221 91 -53 29 143 -272 7 -321 29 -23 -25 11 67 -144 23 -21 >log-odds matrix SOX10: alength= 4 w= 10 n= 0 bayes= 0 E= 0 60 -238 -54 69 145 -64 -199 -138 174 -268 -284 -143 -163 171 -264 -201 182 -327 -276 -221 139 -201 -235 -10 62 -338 -284 115 -115 -124 142 -118 42 -22 59 -174 75 35 -77 -113 >log-odds matrix SOX15: alength= 4 w= 10 n= 0 bayes= 0 E= 0 -297 115 -77 9 -201 72 -327 100 134 -638 -564 53 -638 -638 -538 198 -638 -697 -697 199 -159 -357 183 -564 -338 -697 -638 196 -47 -41 -100 102 -22 2 -113 74 -5 -41 -60 70 >log-odds matrix SOX17: alength= 4 w= 10 n= 0 bayes= 0 E= 0 87 -199 15 -31 125 -140 -36 -112 200 -797 -797 -697 -797 199 -638 -638 200 -797 -797 -797 200 -797 -797 -797 -276 -797 -797 194 51 -166 86 -117 -25 -46 111 -186 51 -29 6 -49 >log-odds matrix SOX2: alength= 4 w= 10 n= 0 bayes= 0 E= 0 108 -80 -43 -82 199 -797 -797 -564 -797 187 -638 -163 199 -797 -797 -697 199 -797 -797 -797 41 -638 -797 141 94 -516 85 -199 -3 -99 130 -427 57 -14 7 -85 29 -19 -11 -3 >log-odds matrix SOX5: alength= 4 w= 10 n= 0 bayes= 0 E= 0 66 -172 -32 39 131 -77 -58 -190 196 -451 -497 -451 -516 185 -364 -182 197 -538 -497 -497 196 -516 -516 -416 -172 -416 -480 185 82 -292 59 -75 3 -41 83 -115 28 -48 19 -10 >log-odds matrix SOX6: alength= 4 w= 10 n= 0 bayes= 0 E= 0 76 -121 -43 18 127 -143 -35 -121 200 -10000 -797 -797 -797 198 -797 -416 200 -10000 -797 -797 200 -797 -797 -797 -194 -797 -797 190 100 -311 53 -117 -29 -31 116 -276 49 -23 2 -47 >log-odds matrix SRY: alength= 4 w= 8 n= 0 bayes= 0 E= 0 101 -66 -38 -79 198 -638 -597 -516 -564 188 -480 -190 198 -564 -638 -597 192 -464 -280 -516 -75 -480 -538 174 62 -80 29 -57 23 -78 88 -134 >log-odds matrix TCF7: alength= 4 w= 13 n= 0 bayes= 0 E= 0 -63 35 -43 42 -72 62 -45 16 -297 141 -37 -117 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