Integrative Deep Learning for Identifying Differentially Expressed (DE) Biomarkers

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="1"><hr/></td></tr><tr class="thead"><td class="align_left">Three multiomics data of breast cancer (TCGA)</td></tr><tr><td class="thead-hr" colspan="1"><hr/></td></tr><tr><td class="align_left">ABCA3 ABCA6 ABCC8 ABCG1 ACOT4 ACP5 ACSM1 ADAM8 ADRA2A AEBP1</td></tr><tr><td class="align_left">AGR2 ALDH2 ASPN BCAS4 BNIPL C12orf54 C1orf64 CALB2 CAPSL CCDC80</td></tr><tr><td class="align_left">CD36 CLDN3 CLDN8 CXCL13 CYP21A2 DACH1 DEFB1 DKK2 DNALI1 DSC2</td></tr><tr><td class="align_left">DYX1C1 ENPEP ERP27 ESR1 ESRRG FAM3D FRK GBP1 IGFALS IL22RA2</td></tr><tr><td class="align_left">LRRN2 OXGR1 PEX11 A PTH2R ROR2 SELE SORBS2 SPATA18 SYT9 TBC1D9</td></tr><tr><td class="align_left">TBX21 TCN1 TFAP2B TNIP3 TOB1 TSPYL5 VCAN VGLL1 ZFP2</td></tr><tr class="table-tr"><td colspan="1"><hr class="tbody-hr"/></td></tr></table></td></tr><tr class="table-fn"><td><div><svg height="10.1524pt" id="M79" 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373L111 -147C97 -210 84 -218 17 -231L13 -257L254 -247L259 -218L233 -216C183 -212 177 -202 189 -142L218 -1C238 -10 266 -12 283 -12C351 3 429 48 483 105C543 168 570 242 570 304ZM482 289C482 161 380 33 304 33C278 33 248 51 233 69L303 396C326 400 352 403 369 403C428 403 482 380 482 289Z"></path></g><g transform="matrix(.013,0,0,-0.013,9.885,0)"><path d="M478 437H300V411C357 404 363 393 347 345C325 280 293 190 258 107C229 178 188 284 163 354C147 397 149 405 203 411V437H-2V411C52 403 59 396 82 339C130 222 176 109 220 -11H248C304 138 356 261 390 336C417 395 425 404 478 411V437Z"></path></g><g transform="matrix(.013,0,0,-0.013,15.904,0)"><path d="M433 39L423 65C413 59 399 54 387 54C370 54 352 69 352 114V299C352 352 342 392 307 422C285 440 255 449 225 449C168 437 102 399 75 379C56 365 44 353 44 339C44 315 69 296 87 296C101 296 111 303 116 319C124 349 133 371 145 385C156 397 171 404 190 404C241 404 275 364 275 291V274C253 256 180 229 120 209C65 190 39 159 39 110C39 47 88 -12 159 -12C189 -12 237 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<div>Selected features of multiple omics data (TCGA) via the integrative deep learning.</div>

Computational and Mathematical Methods in Medicine

tab5

Table 5

Table 5: Integrative Deep Learning for Identifying Differentially Expressed (DE) Biomarkers 