Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans-Reference-Cited by-同舟云学术

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Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans

Published:2017-05 Issue:5 Volume:24 Page:436-446
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Yang Sihai¹²,Han Xianhua¹,Tohsato Yukako³,Kyoda Koji³,Onami Shuichi³,Nishikawa Ikuko¹,Chen Yenwei¹

Affiliation:

1. Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan.

2. College of Computer Science and Technology, Huaqiao University, Xiamen, Fujian, China.

3. Laboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, Kobe, Hyogo, Japan.

Publisher

Mary Ann Liebert Inc

Subject

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

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2016.0210

Reference24 articles.

1. Power law relationship between cell cycle duration and cell volume in the early embryonic development of Caenorhabditis elegans

2. Genome-wide RNAi analysis of Caenorhabditis elegans fat regulatory genes

3. The quantitative study of shape and pattern perception.

4. RNA interference screening inDrosophilaprimary cells for genes involved in muscle assembly and maintenance

5. Dare to Be Different: Asymmetric Cell Division in Drosophila, C. elegans and Vertebrates

Cited by 2 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. GND-PCA Method for Identification of Gene Functions Involved in Asymmetric Division of C. elegans;Mathematics;2023-04-25

2. Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data;Artificial Neural Networks and Machine Learning – ICANN 2020;2020

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