A flexible framework for sparse simultaneous component based data integration

BMC Bioinformatics

Table 4 Overview of fit and sparseness for retained sparse group lasso models

f _L	f _R	f _G	Fit	Number of zeros in
				C1	C2	C3	C4	C5
0.5	0.0001	0.01	0.52	178	176	176	178	179
0.5	0.0001	0.1	0.49	166	156	167	161	159
0.5	0.0001	0.2	0.44	150	173	145	143	169
0.5	0.001	0.1	0.49	158	167	161	166	156
0.5	0.001	0.2	0.44	169	150	146	145	173
0.5	0.01	0.1	0.48	154	154	166	165	160
1	0.0001	0.01	0.43	184	181	183	184	182
1	0.001	0.001	0.43	181	185	185	185	186
1	0.001	0.01	0.43	181	182	184	183	180
1	0.01	0.0001	0.42	180	183	180	179	174
1	0.01	0.001	0.42	182	179	174	180	179
1	0.01	0.01	0.41	177	180	173	178	181

Solutions with five components that have non-zero component weights in only one data block, a fit > .40, and more than 50 percent of zero weights in the remaining block. The strength of the different tuning parameters is indicated in the first three columns, the fit is displayed in the fourth column, and the 5 remaining columns show for each component (C1-C5) how many of the 188 metabolites received a zero-weight.

ISSN: 1471-2105