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fouodo committed Jul 19, 2024
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[![R-CMD-check](https://github.com/imbs-hl/fuseMLR/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/imbs-hl/fuseMLR/actions/workflows/R-CMD-check.yaml)
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## 8 geneexpr SMAD4
## 9 geneexpr SQSTM1
## 10 geneexpr YWHAE
## 11 proteinexpr Bap1.c.4
## 12 proteinexpr Bid
## 13 proteinexpr Cyclin_E2
## 14 proteinexpr P.Cadherin
## 15 proteinexpr Chk1
## 16 proteinexpr Chk1_pS345
## 17 proteinexpr EGFR
## 18 proteinexpr EGFR_pY1173
## 19 proteinexpr HER3_pY1289
## 20 proteinexpr MIG.6
## 21 proteinexpr ETS.1
## 22 proteinexpr MEK1_pS217_S221
## 23 proteinexpr p38_MAPK
## 24 proteinexpr c.Met_pY1235
## 25 proteinexpr N.Ras
## 26 proteinexpr PCNA
## 27 proteinexpr PEA15_pS116
## 28 proteinexpr PKC.delta_pS664
## 29 proteinexpr Rad50
## 30 proteinexpr C.Raf_pS338
## 31 proteinexpr p70S6K
## 32 proteinexpr p70S6K_pT389
## 33 proteinexpr Smad4
## 34 proteinexpr STAT3_pY705
## 35 proteinexpr 14.3.3_epsilon
## 36 methylation cg20139214
## 37 methylation cg18457775
## 38 methylation cg24747396
## 39 methylation cg01306510
## 40 methylation cg02412050
## 41 methylation cg07566050
## 42 methylation cg02630105
## 43 methylation cg20849549
## 44 methylation cg00547829
## 45 methylation cg25539131
## 46 methylation cg07064406
## 11 geneexpr YWHAZ
## 12 proteinexpr Bap1.c.4
## 13 proteinexpr Bid
## 14 proteinexpr Cyclin_E2
## 15 proteinexpr P.Cadherin
## 16 proteinexpr Chk1
## 17 proteinexpr Chk1_pS345
## 18 proteinexpr EGFR
## 19 proteinexpr EGFR_pY1173
## 20 proteinexpr HER3_pY1289
## 21 proteinexpr MIG.6
## 22 proteinexpr ETS.1
## 23 proteinexpr MEK1_pS217_S221
## 24 proteinexpr p38_MAPK
## 25 proteinexpr c.Met_pY1235
## 26 proteinexpr N.Ras
## 27 proteinexpr PCNA
## 28 proteinexpr PEA15_pS116
## 29 proteinexpr PKC.delta_pS664
## 30 proteinexpr Rad50
## 31 proteinexpr C.Raf_pS338
## 32 proteinexpr p70S6K
## 33 proteinexpr p70S6K_pT389
## 34 proteinexpr Smad4
## 35 proteinexpr STAT3_pY705
## 36 proteinexpr 14.3.3_epsilon
## 37 methylation cg20139214
## 38 methylation cg18457775
## 39 methylation cg24747396
## 40 methylation cg09637363
## 41 methylation cg01306510
## 42 methylation cg11861730
## 43 methylation cg02412050
## 44 methylation cg25984124
## 45 methylation cg07566050
## 46 methylation cg02630105
## 47 methylation cg20849549
## 48 methylation cg00547829
## 49 methylation cg25539131
## 50 methylation cg07064406
## 51 methylation cg11816577

For each layer, the variable selection results show the chosen
variables. In this example, we perform variable selection on the entire
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## Layer : geneexpr
## ind. id. : IDS
## target : disease
## n : 23
## n : 26
## Missing : 0
## p : 11
## p : 12

#### C) Predicting

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##
## $predicted_values
## IDS geneexpr proteinexpr methylation meta_layer
## 1 subject4 0.6637889 0.6793532 0.36752579 0.5569461
## 2 subject7 0.4678730 0.1669341 0.47024246 0.3635983
## 3 subject8 0.6273369 0.9242417 0.73984722 0.7737407
## 4 subject10 0.7341560 0.8031524 0.55480556 0.6902961
## 5 subject13 0.5412294 0.2743829 0.08730556 0.2759364
## 6 subject15 0.6477873 0.8806897 0.30431706 0.5990090
## 7 subject16 0.8169798 0.1946786 0.46707183 0.4668832
## 8 subject18 0.6804615 0.1561825 0.02034048 0.2470528
## 9 subject23 0.6450365 0.1402103 0.72942460 0.5005914
## 10 subject24 0.5658567 0.6941516 0.38927381 0.5437694
## 11 subject27 0.3589107 0.1916667 0.43114444 0.3278381
## 12 subject31 0.6205544 0.8447563 0.44271230 0.6315077
## 13 subject32 0.5908952 0.7145917 0.72011230 0.6830976
## 14 subject35 0.4189183 0.8294321 0.62285754 0.6396775
## 15 subject36 0.4889690 0.1799242 0.41842579 0.3542279
## 16 subject50 0.7387599 0.4915492 0.78699048 0.6706433
## 17 subject54 0.7166698 0.7474905 0.83568294 0.7725465
## 18 subject55 0.5898306 0.1715333 0.55571190 0.4307124
## 19 subject59 0.3705266 0.2178278 0.40865952 0.3316133
## 20 subject62 0.4333012 0.2416484 0.49517857 0.3897732
## 21 subject63 0.4968206 0.8056214 0.86868611 0.7456762
## 22 subject66 0.6390286 0.6639175 0.94965833 0.7654539
## 23 subject70 0.4320159 0.2872944 0.31015437 0.3352534
## 1 subject4 0.5937706 0.6132591 0.5192488 0.5717457
## 2 subject7 0.4384048 0.1415925 0.3330052 0.3030073
## 3 subject8 0.8284393 0.8261302 0.4541258 0.6856099
## 4 subject10 0.6480798 0.7619429 0.7257119 0.7141414
## 5 subject13 0.4696651 0.2453155 0.2552869 0.3161878
## 6 subject15 0.6860278 0.8448397 0.4695179 0.6548801
## 7 subject16 0.7164988 0.2391385 0.2982036 0.4043041
## 8 subject18 0.6841032 0.2573849 0.1778774 0.3548057
## 9 subject23 0.7740560 0.1429325 0.4101016 0.4330730
## 10 subject24 0.4712329 0.5692774 0.6634460 0.5757051
## 11 subject27 0.3812020 0.2468123 0.3604829 0.3301475
## 12 subject31 0.4353317 0.7754250 0.6652825 0.6319176
## 13 subject32 0.5357937 0.7339349 0.4708202 0.5748079
## 14 subject35 0.4210536 0.7385143 0.5328881 0.5655296
## 15 subject36 0.4857722 0.1940909 0.2882040 0.3170370
## 16 subject50 0.8265369 0.5383286 0.4254341 0.5816573
## 17 subject54 0.5995516 0.6096393 0.9074409 0.7196666
## 18 subject55 0.6721512 0.1781012 0.5426885 0.4642321
## 19 subject59 0.4102663 0.1503671 0.3482810 0.3032116
## 20 subject62 0.3892206 0.2570806 0.2611897 0.2981542
## 21 subject63 0.3204302 0.7735214 0.6711056 0.5991572
## 22 subject66 0.7673726 0.6187722 0.7616266 0.7174349
## 23 subject70 0.2199567 0.1973190 0.2735865 0.2330391

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