A Machine Learning Approach to Biomarker Screening on Proteomics Data of Cleft Lip and Palate-Reference-Cited by-同舟云学术

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A Machine Learning Approach to Biomarker Screening on Proteomics Data of Cleft Lip and Palate

Published:2020-12-05 Issue: Volume: Page:
ISSN:
Container-title:The Fourth International Symposium on Image Computing and Digital Medicine
language:
Short-container-title:

Author:

Xie Weidong¹,Wang Linjie¹,Yu Kun²,Li Wei³

Affiliation:

1. School of Computer Science and Engineering, Northeastern University, China

2. College of medicine and bioinformation engineering,Northeastern University, China

3. Key Laboratory of Intelligent Computing in Medical Image (MIIC), Northeastern University, Ministry of Education, China

Funder

Medical Imaging Processing Engineering Technology Research Center of Shenyang

The Fundamental Research Funds for the Central Universities

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3451421.3451435

Reference20 articles.

1. A review of microarray datasets and applied feature selection methods

2. Bone morphogenetic protein–2 activity is regulated by secreted phosphoprotein–24 kd, an extracellular pseudoreceptor, the gene for which maps to a region of the human genome important for bone quality

3. Feature selection using lasso;Fonti Valeria;VU Amsterdam Research Paper in Business Analytics,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GAMB-GNN: Graph Neural Networks learning from gene structure relations and Markov Blanket ranking for cancer classification in microarray data;Chemometrics and Intelligent Laboratory Systems;2023-01

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