Repository revision
3:585ef27873c9

Repository 'cardinal_classification'
hg clone https://toolshed.g2.bx.psu.edu/repos/galaxyp/cardinal_classification

MSI classification tool metadata
Miscellaneous
spatial classification of mass spectrometry imaging data
cardinal_classification
toolshed.g2.bx.psu.edu/repos/galaxyp/cardinal_classification/cardinal_classification/1.12.1.2
1.12.1.2
None
True
Version lineage of this tool (guids ordered most recent to oldest)
toolshed.g2.bx.psu.edu/repos/galaxyp/cardinal_classification/cardinal_classification/1.12.1.3
toolshed.g2.bx.psu.edu/repos/galaxyp/cardinal_classification/cardinal_classification/1.12.1.2 (this tool)
toolshed.g2.bx.psu.edu/repos/galaxyp/cardinal_classification/cardinal_classification/1.12.1.1
toolshed.g2.bx.psu.edu/repos/galaxyp/cardinal_classification/cardinal_classification/1.12.1.0
cardinal_classification
Requirements (dependencies defined in the <requirements> tag set)
name version type
bioconductor-cardinal 1.12.1 package
r-base 3.5.1 package
r-ggplot2 3.0 package
r-gridextra 2.3 package
r-lattice 0.20_35 package
Functional tests
name inputs outputs required files
Test-1 type_cond|method_cond|class_method: PLS
type_cond|type_method: training
type_cond|method_cond|analysis_cond|PLS_method: cvapply
type_cond|method_cond|analysis_cond|plscv_comp: 2:4
type_cond|column_fold: 3
type_cond|column_response: 4
type_cond|column_x: 1
type_cond|column_y: 2
type_cond|annotation_file: pixel_annotation_file1.tabular
type_cond|tabular_header: False
infile: testfile_squares.rdata
attributes: name
attributes: name
attributes: name
testfile_squares.rdata
pixel_annotation_file1.tabular
name
Test-2 output_rdata: True
type_cond|method_cond|class_method: PLS
type_cond|type_method: training
type_cond|method_cond|analysis_cond|PLS_method: PLS_analysis
type_cond|method_cond|analysis_cond|pls_toplabels: 100
type_cond|column_response: 4
type_cond|method_cond|analysis_cond|pls_scale: True
type_cond|column_x: 1
type_cond|column_y: 2
type_cond|annotation_file: pixel_annotation_file1.tabular
type_cond|method_cond|analysis_cond|pls_comp: 2
type_cond|tabular_header: False
infile: testfile_squares.rdata
attributes: name
attributes: name
attributes: name
attributes: name
testfile_squares.rdata
pixel_annotation_file1.tabular
name
Test-3 type_cond|method_cond|class_method: OPLS
type_cond|method_cond|opls_analysis_cond|opls_cvcomp: 1:2
type_cond|type_method: training
type_cond|column_response: 4
type_cond|column_fold: 3
type_cond|column_x: 1
type_cond|column_y: 2
type_cond|annotation_file: random_factors.tabular
type_cond|method_cond|opls_analysis_cond|xnew_cv: False
type_cond|tabular_header: False
infile: testfile_squares.rdata
type_cond|method_cond|opls_analysis_cond|opls_method: opls_cvapply
attributes: name
attributes: name
attributes: name
testfile_squares.rdata
random_factors.tabular
name
Test-4 output_rdata: True
type_cond|method_cond|class_method: OPLS
type_cond|type_method: training
type_cond|method_cond|opls_analysis_cond|opls_scale: False
type_cond|column_response: 4
type_cond|method_cond|opls_analysis_cond|opls_comp: 3
type_cond|method_cond|opls_analysis_cond|xnew: False
type_cond|method_cond|opls_analysis_cond|opls_toplabels: 100
type_cond|column_x: 1
type_cond|column_y: 2
type_cond|annotation_file: random_factors.tabular
type_cond|tabular_header: False
infile: testfile_squares.rdata
type_cond|method_cond|opls_analysis_cond|opls_method: opls_analysis
attributes: name
attributes: name
attributes: name
attributes: name
testfile_squares.rdata
random_factors.tabular
name
Test-5 type_cond|method_cond|ssc_analysis_cond|ssc_method: ssc_cvapply
type_cond|type_method: training
type_cond|method_cond|class_method: spatialShrunkenCentroids
type_cond|column_fold: 4
type_cond|column_response: 3
type_cond|column_x: 1
type_cond|column_y: 2
type_cond|annotation_file: pixel_annotation_file1.tabular
type_cond|tabular_header: False
infile: testfile_squares.rdata
attributes: name
attributes: name
attributes: name
testfile_squares.rdata
pixel_annotation_file1.tabular
name
Test-6 output_rdata: True
type_cond|method_cond|class_method: spatialShrunkenCentroids
type_cond|type_method: training
type_cond|method_cond|ssc_kernel_method: adaptive
infile: testfile_squares.rdata
type_cond|method_cond|ssc_r: 2
type_cond|method_cond|ssc_analysis_cond|ssc_toplabels: 20
type_cond|column_response: 4
type_cond|method_cond|ssc_s: 2
type_cond|column_x: 1
type_cond|column_y: 2
type_cond|method_cond|ssc_analysis_cond|ssc_method: ssc_analysis
type_cond|annotation_file: random_factors.tabular
attributes: name
attributes: name
attributes: name
attributes: name
testfile_squares.rdata
random_factors.tabular
name
Test-7 output_rdata: True
type_cond|type_method: prediction
type_cond|training_result: test2.rdata
type_cond|new_y_values_cond|new_tabular_header: False
type_cond|new_y_values_cond|column_new_response: 4
type_cond|new_y_values_cond|column_new_y: 2
type_cond|new_y_values_cond|column_new_x: 1
type_cond|new_y_values_cond|new_response_file: pixel_annotation_file1.tabular
type_cond|new_y_values_cond|new_y_values: new_response
infile: testfile_squares.rdata
attributes: name
attributes: name
attributes: name
attributes: name
testfile_squares.rdata
test2.rdata
pixel_annotation_file1.tabular
name