A Statistical Integrative Analysis Method for MicroRNA and Gene Expression
Author:
Affiliation:
1. Graduate School of Engineering, Kogakuin University
2. Department Molecular Pathology, Tokyo Medical University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Link
https://www.jstage.jst.go.jp/article/ieejeiss/144/4/144_290/_pdf
Reference19 articles.
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2. 福岡 豊・稲岡秀検・小林こず恵：「遺伝子発現データからのパスウェイ探索法の現状とその適用事例」, 電学論C, Vol. 141, No. 4, pp. 499-504 (2021)
3. (2) M. Tanaka, M. Homme, Y. Yamazaki, R. Shimizu, Y. Takizawa, and T. Nakamura : “Modeling alveolar soft part sarcoma unveils novel mechanisms of metastasis”, Cancer Res., Vol. 77, No. 4, pp. 851-862 (2016)
4. (3) K. Jazdzewsi, E. L. Murray, K. Franssila, B. Jarzab, D. R. Schoenberg, and A. de la Chapelle : “Common SNP in pre-miR-146a decreases mature miR expression and predisposes to papillary thyroid carcinoma”, Proc Natl Acad Sci U. S. A., Vol. 105, No. 20, pp. 7269-7274 (2008)
5. (4) S. Nam, M. Li, K. Choi, C. Balch, S. Kim, and K. P. Nephew : “MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression”, Nucleic Acids Res., Vol. 37, Web Server issue, pp. W356-W362 (2009)
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