Adaptive NetworkProfiler for Identifying Cancer Characteristic-Specific Gene Regulatory Networks-Reference-Cited by-同舟云学术

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Adaptive NetworkProfiler for Identifying Cancer Characteristic-Specific Gene Regulatory Networks

Published:2018-02 Issue:2 Volume:25 Page:130-145
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Park Heewon¹,Shimamura Teppei²,Imoto Seiya³,Miyano Satoru⁴

Affiliation:

1. Faculty of Global and Science Studies, Yamaguchi University, Yamaguchi Prefecture, Japan.

2. Graduate School of Medicine, Nagoya University, Nagoya, Japan.

3. Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.

4. Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2017.0120

Reference24 articles.

1. The SOX family of genes in cancer development: biological relevance and opportunities for therapy

2. Candidate biomarkers for response to tamoxifen in breast cancer metastatic patients

3. The rat hepatic leukemia factor (HLF) gene encodes two transcriptional activators with distinct circadian rhythms, tissue distributions and target preferences.

4. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

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1. Computational Tactics for Precision Cancer Network Biology;International Journal of Molecular Sciences;2022-11-19

2. Alterations in common marmoset gut microbiome associated with duodenal strictures;Scientific Reports;2022-03-28

3. Global gene network exploration based on explainable artificial intelligence approach;PLOS ONE;2020-11-06

4. A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach;2020-05-05

5. Robust Sample-Specific Stability Selection with Effective Error Control;Journal of Computational Biology;2019-03

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