相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data
Yunchuan Kong et al.
BIOINFORMATICS (2018)
Deep learning in bioinformatics
Seonwoo Min et al.
BRIEFINGS IN BIOINFORMATICS (2017)
Single-cell RNA-seq reveals a distinct transcriptome signature of aneuploid hematopoietic cells
Xin Zhao et al.
BLOOD (2017)
Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification
Zakariya Yahya Algamal et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Classification of lung cancer using ensemble-based feature selection and machine learning methods
Zhihua Cai et al.
MOLECULAR BIOSYSTEMS (2015)
Robustness of Random Forest-based gene selection methods
Miron Bartosz Kursa
BMC BIOINFORMATICS (2014)
Risk classification of cancer survival using ANN with gene expression data from multiple laboratories
Yen-Chen Chen et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2014)
Network-Based Penalized Regression With Application to Genomic Data
Sunkyung Kim et al.
BIOMETRICS (2013)
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification
Yong Liang et al.
BMC BIOINFORMATICS (2013)
Network-Induced Classification Kernels for Gene Expression Profile Analysis
Ofer Lavi et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2012)
Protein Networks as Logic Functions in Development and Cancer
Janusz Dutkowski et al.
PLOS COMPUTATIONAL BIOLOGY (2011)
Illuminating the black box: a randomization approach for understanding variable contributions in artificial neural networks
JD Olden et al.
ECOLOGICAL MODELLING (2002)