Sparse generalized linear model with L0 approximation for feature selection and prediction with big omics data.

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Sparse generalized linear model with L0 approximation for feature selection and prediction with big omics data.

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2017 nî lūn-bûn

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2017年学术文章

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Sparse generalized linear mode ...... rediction with big omics data.

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Sparse generalized linear mode ...... rediction with big omics data.

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Sparse generalized linear mode ...... rediction with big omics data.

@en

Sparse generalized linear mode ...... rediction with big omics data.

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Sparse generalized linear mode ...... rediction with big omics data.

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Sparse generalized linear mode ...... rediction with big omics data.

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P1476

Sparse generalized linear mode ...... prediction with big omics data

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P2093

Dermot P McGovern

http://www.w3.org/2001/XMLSchema#string

Fengzhu Sun

http://www.w3.org/2001/XMLSchema#string

P2860

Regularization Paths for Generalized Linear Models via Coordinate Descent

Sparse Inverse Covariance Estimation with L0 Penalty for Network Construction with Omics Data.

Molecular biomarkers of residual disease after surgical debulking of high-grade serous ovarian cancer

Risk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samples.

Suboptimal cytoreduction in ovarian carcinoma is associated with molecular pathways characteristic of increased stromal activation

Efficient Regularized Regression with L0 Penalty for Variable Selection and Network Construction.

Adenosine induces cell cycle arrest and apoptosis via cyclinD1/Cdk4 and Bcl-2/Bax pathways in human ovarian cancer cell line OVCAR-3.

Tiam1, negatively regulated by miR-22, miR-183 and miR-31, is involved in migration, invasion and viability of ovarian cancer cells.

A Path Algorithm for Constrained Estimation.

A Generic Path Algorithm for Regularized Statistical Estimation.

P2888

s13040-017-0159-z

P304

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scholarly article

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10.1186/S13040-017-0159-Z

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P478

http://www.w3.org/2001/XMLSchema#string

P50

Zhenqiu Liu

P577

2017-12-19T00:00:00Z

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P6179

1099723995

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P698

29270229

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P932

5735537

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