As various modalities of genomic data are accumulating, methods to integrate across multi-omics datasets are becoming important. Error-correcting output codes (ECOC) is an ensemble learning strategy for solving a multiclass problem thru a decoding process that aggregates the predictions of multiple classifiers. Thus, it lends itself naturally to aggregating predictions across multiple views as well. We applied the ECOC to multi-view learning to see if this strategy can enhance classifier performance as compared to traditional techniques.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Mira Han, "Data for Error-correcting output codes and multi-view learning in the tissue of origin classification", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/d3qw-v541. Accessed: Jan. 20, 2025.
@data{d3qw-v541-24,
doi = {10.21227/d3qw-v541},
url = {http://dx.doi.org/10.21227/d3qw-v541},
author = {Mira Han },
publisher = {IEEE Dataport},
title = {Data for Error-correcting output codes and multi-view learning in the tissue of origin classification},
year = {2024} }
TY - DATA
T1 - Data for Error-correcting output codes and multi-view learning in the tissue of origin classification
AU - Mira Han
PY - 2024
PB - IEEE Dataport
UR - 10.21227/d3qw-v541
ER -
Mira Han. (2024). Data for Error-correcting output codes and multi-view learning in the tissue of origin classification. IEEE Dataport. http://dx.doi.org/10.21227/d3qw-v541
Mira Han, 2024. Data for Error-correcting output codes and multi-view learning in the tissue of origin classification. Available at: http://dx.doi.org/10.21227/d3qw-v541.
Mira Han. (2024). "Data for Error-correcting output codes and multi-view learning in the tissue of origin classification." Web.
1. Mira Han. Data for Error-correcting output codes and multi-view learning in the tissue of origin classification [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/d3qw-v541
Mira Han. "Data for Error-correcting output codes and multi-view learning in the tissue of origin classification." doi: 10.21227/d3qw-v541