b4d1186ce396befae9f10b778dd055ab *DESCRIPTION
624fc1c70402d25d735b716358accb9b *NAMESPACE
f2c8d454f93287a8f68f1aa48eed4581 *NEWS.md
e0d808e253dcfc4213542928f0bef300 *R/lilikoi.KEGGplot.R
cf16e626e533e6f1387d8454cdac298d *R/lilikoi.Loaddata.r
033812180819e693ed27d45a2f680b69 *R/lilikoi.MetaTOpathway.r
87433eae36681b5b018fd806fa0624bf *R/lilikoi.PDSfun.r
d2d8016dedcf0313bf55518240a88d48 *R/lilikoi.explr.R
3885b1d3f4c9ec2789e368caa211ae6d *R/lilikoi.featuresSelection.r
cac95d6347b640ea2e19ab136283a6d7 *R/lilikoi.globals.R
9341542e04031521df390ecdbfa27641 *R/lilikoi.machine_learning.r
abd0449a5f786a02451fd8d2b05c59dc *R/lilikoi.meta_path.R
f0177b42a6c4f058adb6c24732cff554 *R/lilikoi.preproc_knn.R
85df50aae48e32ae24e262f2870e9440 *R/lilikoi.preproc_norm.R
5f4fc7ad446cdb91acb7afc064156b13 *R/lilikoi.prognosis.R
895e8914285b2a0642939ef745707d44 *R/sysdata.rda
797f78a19aa1f50e43de12eca4ea6e3d *README.md
1a484844dcb65f1133825f1ed4980e77 *build/vignette.rds
662cd25d1e2f718589879a0b9f325fda *inst/L2cross.py
37a1a68b3177ac11d117ed695b97b647 *inst/L2cross_nopercent.py
cf2e7d2b2f0f0c4738efda6a187ae5e8 *inst/cox_nnet3/__init__.py
156e01b2a5eb1ebd24bce617c7f89fb8 *inst/cox_nnet3/__pycache__/__init__.cpython-36.pyc
c05b8db5b5ae93bb030f6afd86e01301 *inst/cox_nnet3/__pycache__/cox_nnet.cpython-36.pyc
ee263c2e10feb0fdf4190c37d3839a3a *inst/cox_nnet3/__pycache__/cox_nnet3.cpython-36.pyc
2f5de85d55c9fdbcdec0fa82192c68a6 *inst/cox_nnet3/cox_nnet3.py
379ded748c52b7f39c788d226d19fccd *inst/doc/Vignette.R
de32acb268e88f18ccffccb8e041d0a6 *inst/doc/Vignette.Rmd
fc0e2048a0dd497ca532ff4770b7e74f *inst/doc/Vignette.html
dea28d25b12d07d4a3c2e2be89f13b97 *inst/extdata/data_format.csv
0d586f6c79e276ba9ca3d99a72dfa416 *inst/extdata/plasma_breast_cancer.csv
ec0495eca8de8d48f94e889c3c739f64 *inst/extdata/plasma_breast_cancer_Meta.csv
0d586f6c79e276ba9ca3d99a72dfa416 *inst/extdata/plasma_breast_cancer_data.csv
39d821cb3d888c2bdcc3c8a4896b9168 *man/lilikoi.KEGGplot.Rd
681fcac0407b546468b6437eef00001d *man/lilikoi.Loaddata.Rd
470863223de939f4d8e6f5c4d47bca52 *man/lilikoi.MetaTOpathway.Rd
5ed21b3a5922d9106d3329505e9034d8 *man/lilikoi.PDSfun.Rd
c834d52b5a9aa7ae9490d06af2290963 *man/lilikoi.explr.Rd
ee45bba4779b21d658dd77ef069e66bb *man/lilikoi.featuresSelection.Rd
fdbabc37f729121049dcc060083c5a37 *man/lilikoi.machine_learning.Rd
254b27febd6f46c82e11a609282b1771 *man/lilikoi.meta_path.Rd
93166fc35def1ee4021b2d777ec14152 *man/lilikoi.preproc_knn.Rd
db5af66b7193713da7663a68bbf32f53 *man/lilikoi.preproc_norm.Rd
b6ebf66646fa223164376fac4412c8b4 *man/lilikoi.prognosis.Rd
de32acb268e88f18ccffccb8e041d0a6 *vignettes/Vignette.Rmd
