BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Imoto H, Zhang S, Okada M. A Computational Framework for Prediction and Analysis of Cancer Signaling Dynamics from RNA Sequencing Data-Application to the ErbB Receptor Signaling Pathway. Cancers (Basel) 2020;12:E2878. [PMID: 33036375 DOI: 10.3390/cancers12102878] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Imoto H, Yamashiro S, Murakami K, Okada M. Protocol for stratification of triple-negative breast cancer patients using in silico signaling dynamics. STAR Protocols 2022;3:101619. [DOI: 10.1016/j.xpro.2022.101619] [Reference Citation Analysis]
2 Wibisana JN, Okada M. Encoding and decoding NF-κB nuclear dynamics. Current Opinion in Cell Biology 2022;77:102103. [DOI: 10.1016/j.ceb.2022.102103] [Reference Citation Analysis]
3 Kemmer S, Berdiel-Acer M, Reinz E, Sonntag J, Tarade N, Bernhardt S, Fehling-Kaschek M, Hasmann M, Korf U, Wiemann S, Timmer J. Disentangling ERBB Signaling in Breast Cancer Subtypes-A Model-Based Analysis. Cancers (Basel) 2022;14:2379. [PMID: 35625984 DOI: 10.3390/cancers14102379] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
4 Imoto H, Yamashiro S, Okada M. A text-based computational framework for patient -specific modeling for classification of cancers. iScience 2022. [DOI: 10.1016/j.isci.2022.103944] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
5 Haga M, Okada M. Systems approaches to investigate the role of NF-κB signaling in aging. Biochem J 2022;479:161-83. [PMID: 35098992 DOI: 10.1042/BCJ20210547] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
6 Magi S, Ki S, Ukai M, Domínguez-Hüttinger E, Naito AT, Suzuki Y, Okada M. A combination approach of pseudotime analysis and mathematical modeling for understanding drug-resistant mechanisms. Sci Rep 2021;11:18511. [PMID: 34531471 DOI: 10.1038/s41598-021-97887-z] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Aoki-kinoshita KF. Glycome informatics: using systems biology to gain mechanistic insights into glycan biosynthesis. Current Opinion in Chemical Engineering 2021;32:100683. [DOI: 10.1016/j.coche.2021.100683] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
8 Ebata K, Yamashiro S, Iida K, Okada M. Building patient-specific models for receptor tyrosine kinase signaling networks. FEBS J 2021. [PMID: 33755310 DOI: 10.1111/febs.15831] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
9 Magi S. Mathematical Modeling of Cancer Signaling Addressing Tumor Heterogeneity. Springer Proceedings in Mathematics & Statistics 2021. [DOI: 10.1007/978-981-16-4866-3_9] [Reference Citation Analysis]