[HTML][HTML] McTwo: a two-step feature selection algorithm based on maximal information coefficient
Background High-throughput bio-OMIC technologies are producing high-dimension data
from bio-samples at an ever increasing rate, whereas the training sample number in a …
from bio-samples at an ever increasing rate, whereas the training sample number in a …
McTwo: a two-step feature selection algorithm based on maximal information coefficient
R Ge, M Zhou, Y Luo, Q Meng, G Mai… - BMC …, 2016 - pubmed.ncbi.nlm.nih.gov
Background High-throughput bio-OMIC technologies are producing high-dimension data
from bio-samples at an ever increasing rate, whereas the training sample number in a …
from bio-samples at an ever increasing rate, whereas the training sample number in a …
McTwo: a two-step feature selection algorithm based on maximal information coefficient.
R Ge, M Zhou, Y Luo, Q Meng, G Mai, D Ma… - BMC …, 2016 - europepmc.org
Background High-throughput bio-OMIC technologies are producing high-dimension data
from bio-samples at an ever increasing rate, whereas the training sample number in a …
from bio-samples at an ever increasing rate, whereas the training sample number in a …
McTwo: a two-step feature selection algorithm based on maximal information coefficient
R Ge, M Zhou, Y Luo, Q Meng, G Mai, D Ma, G Wang… - BMC …, 2016 - infona.pl
Background High-throughput bio-OMIC technologies are producing high-dimension data
from bio-samples at an ever increasing rate, whereas the training sample number in a …
from bio-samples at an ever increasing rate, whereas the training sample number in a …
McTwo: a two-step feature selection algorithm based on maximal information coefficient
R Ge, M Zhou, Y Luo, Q Meng, G Mai, G Wang, F Zhou - researchgate.net
Comparison of the binary classification accuracy Acc between the two algorithms McTwo
and McOne. The performance is illustrated on all the 17 datasets, and each sub-figure's …
and McOne. The performance is illustrated on all the 17 datasets, and each sub-figure's …
[HTML][HTML] McTwo: a two-step feature selection algorithm based on maximal information coefficient
R Ge, M Zhou, Y Luo, Q Meng, G Mai, D Ma… - BMC …, 2016 - ncbi.nlm.nih.gov
Background High-throughput bio-OMIC technologies are producing high-dimension data
from bio-samples at an ever increasing rate, whereas the training sample number in a …
from bio-samples at an ever increasing rate, whereas the training sample number in a …
McTwo: a two-step feature selection algorithm based on maximal information coefficient
R Ge, M Zhou, Y Luo, Q Meng, G Mai, D Ma… - BMC …, 2016 - search.proquest.com
Background High-throughput bio-OMIC technologies are producing high-dimension data
from bio-samples at an ever increasing rate, whereas the training sample number in a …
from bio-samples at an ever increasing rate, whereas the training sample number in a …
McTwo: a two-step feature selection algorithm based on maximal information coefficient.
R Ge, M Zhou, Y Luo, Q Meng, G Mai… - BMC …, 2016 - search.ebscohost.com
Background: High-throughput bio-OMIC technologies are producing high-dimension data
from bio-samples at an ever increasing rate, whereas the training sample number in a …
from bio-samples at an ever increasing rate, whereas the training sample number in a …
[HTML][HTML] McTwo: a two-step feature selection algorithm based on maximal information coefficient
R Ge, M Zhou, Y Luo, Q Meng… - BMC …, 2016 - bmcbioinformatics.biomedcentral …
High-throughput bio-OMIC technologies are producing high-dimension data from bio-
samples at an ever increasing rate, whereas the training sample number in a traditional …
samples at an ever increasing rate, whereas the training sample number in a traditional …
McTwo: a two-step feature selection algorithm based on maximal information coefficient.
R Ge, M Zhou, Y Luo, Q Meng, G Mai, D Ma… - BMC …, 2016 - europepmc.org
Background High-throughput bio-OMIC technologies are producing high-dimension data
from bio-samples at an ever increasing rate, whereas the training sample number in a …
from bio-samples at an ever increasing rate, whereas the training sample number in a …