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Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer

机译：基于网络的成对交互的正则逻辑回归用于乳腺癌生物标志物识别

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Meng-Yun Wu; Xiao-Fei Zhang; Dao-Qing Dai; Le Ou-Yang; Yuan Zhu; Hong Yan;
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年度 2016
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1. Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer [J] . Meng-Yun Wu, Xiao-Fei Zhang, Dao-Qing Dai, BMC Bioinformatics . 2016,第1期

机译：基于网络的成对交互的正则逻辑回归用于乳腺癌生物标志物识别
2. Network-based logistic regression integration method for biomarker identification [J] . BMC Systems Biology . 2018,第9期

机译：基于网络的logistic回归整合方法用于生物标记识别
3. GTB-PPI: Predict Protein–protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting [J] . Bin Yu, Cheng Chen, Hongyan Zhou, Genomics, proteomics & bioinformatics . 2020,第5期

机译：GTB-PPI：基于L1正则化物流回归和梯度树增压预测蛋白质 - 蛋白质相互作用
4. EDA-Based Logistic Regression Applied to Biomarkers Selection in Breast Cancer [C] . S. Gonzalez, V. Robles, J.M. Pena, Distributed computing, artificial intelligence, Bioinformatics, soft computing, and ambient assisted living . 2009

机译：基于EDA的逻辑回归在乳腺癌生物标志物选择中的应用
5. Identification of serum protein biomarkers indicative of breast cancer in postmenopausal women [D] . Jones, Kimberly Jenelle 2009

机译：鉴定绝经后妇女乳腺癌的血清蛋白生物标志物
6. Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer [O] . Meng-Yun Wu, Xiao-Fei Zhang, Dao-Qing Dai, 2016

机译：基于网络的成对交互的正则逻辑回归用于乳腺癌生物标志物识别
7. Network-based logistic regression integration method for biomarker identification [O] . Ke Zhang, Wei Geng, Shuqin Zhang 2018

机译：基于网络的生物标记识别的基于网络的逻辑回归积分方法
8. Determining Effects of Genes, Environment, and Gene X Environment Interaction That Are Common to Breast and Ovarian Cancers Via Bivariate Logistic Regression [R] . Ramakrishnan, V. 2003

机译：通过双变量Logistic回归确定乳腺癌和卵巢癌常见基因，环境和基因X环境相互作用的影响

Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer

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