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Seiya Imoto

Showing results (1-10 of 362) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|June 22, 2024
HLA Typing and Mutation Calling from Normal and Tumor Whole Genome Sequencing Data with ALPHLARD-NTShuto Hayashi, Seiya Imoto
Scientific Reports|October 26, 2023
The transcriptome signature analysis of the epithelial-mesenchymal transition and immune cell infiltration in colon adenocarcinomaYusri Dwi Heryanto, Seiya Imoto
Cancers|April 13, 2023
Identifying Key Regulators of Keratinization in Lung Squamous Cell Cancer Using Integrated TCGA AnalysisYusri Dwi Heryanto, Seiya Imoto
Journal of Human Genetics|July 31, 2024
Genome analysis through image processing with deep learning modelsYao-Zhong Zhang, Seiya Imoto
Proceedings. IEEE Computational Systems Bioinformatics Conference|February 2, 2006
A mixed factors model for dimension reduction and extraction of a group structure in gene expression dataRyo Yoshida, Tomoyuki Higuchi, Seiya Imoto
Frontiers in Genetics|July 7, 2025
Generalized information criteria for personalized gene network inferenceHeewon Park, Seiya Imoto, Sadanori Konishi
Plos One|November 7, 2015
Recursive Random Lasso (RRLasso) for Identifying Anti-Cancer Drug TargetsHeewon Park, Seiya Imoto, Satoru Miyano
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 16, 2011
A top-r feature selection algorithm for microarray gene expression dataAlok Sharma, Seiya Imoto, Satoru Miyano
Bio Systems|July 13, 2004
Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression dataSunyong Kim, Seiya Imoto, Satoru Miyano
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|November 30, 2022
Gene Regulatory Network-Classifier: Gene Regulatory Network-Based Classifier and Its Applications to Gastric Cancer Drug (5-Fluorouracil) Marker IdentificationHeewon Park, Seiya Imoto, Satoru Miyano
Pageof 37

Showing results (1-10 of 362) with videos related to

Sort By:
Pageof 37
Methods in Molecular Biology (Clifton, N.J.)|June 22, 2024
HLA Typing and Mutation Calling from Normal and Tumor Whole Genome Sequencing Data with ALPHLARD-NTShuto Hayashi, Seiya Imoto
Scientific Reports|October 26, 2023
The transcriptome signature analysis of the epithelial-mesenchymal transition and immune cell infiltration in colon adenocarcinomaYusri Dwi Heryanto, Seiya Imoto
Cancers|April 13, 2023
Identifying Key Regulators of Keratinization in Lung Squamous Cell Cancer Using Integrated TCGA AnalysisYusri Dwi Heryanto, Seiya Imoto
Journal of Human Genetics|July 31, 2024
Genome analysis through image processing with deep learning modelsYao-Zhong Zhang, Seiya Imoto
Proceedings. IEEE Computational Systems Bioinformatics Conference|February 2, 2006
A mixed factors model for dimension reduction and extraction of a group structure in gene expression dataRyo Yoshida, Tomoyuki Higuchi, Seiya Imoto
Frontiers in Genetics|July 7, 2025
Generalized information criteria for personalized gene network inferenceHeewon Park, Seiya Imoto, Sadanori Konishi
Plos One|November 7, 2015
Recursive Random Lasso (RRLasso) for Identifying Anti-Cancer Drug TargetsHeewon Park, Seiya Imoto, Satoru Miyano
IEEE/ACM Transactions on Computational Biology and Bioinformatics|November 16, 2011
A top-r feature selection algorithm for microarray gene expression dataAlok Sharma, Seiya Imoto, Satoru Miyano
Bio Systems|July 13, 2004
Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression dataSunyong Kim, Seiya Imoto, Satoru Miyano
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|November 30, 2022
Gene Regulatory Network-Classifier: Gene Regulatory Network-Based Classifier and Its Applications to Gastric Cancer Drug (5-Fluorouracil) Marker IdentificationHeewon Park, Seiya Imoto, Satoru Miyano
Pageof 37