Matsuda H - Search Results

1

High HER2 Intratumoral Heterogeneity Is a Predictive Factor for Poor Prognosis in Early-Stage and Locally Advanced HER2-Positive Breast Cancer.

Tanei T, Seno S, Sota Y, Hatano T, Kitahara Y, Abe K, Masunaga N, Tsukabe M, Yoshinami T, Miyake T, Shimoda M, Matsuda H, Shimazu K. Tanei T, et al. Among authors: matsuda h. Cancers (Basel). 2024 Mar 5;16(5):1062. doi: 10.3390/cancers16051062. Cancers (Basel). 2024. PMID: 38473420 Free PMC article.

2

Determining homologous recombination deficiency scores with whole exome sequencing and their association with responses to neoadjuvant chemotherapy in breast cancer.

Kim SJ, Sota Y, Naoi Y, Honma K, Kagara N, Miyake T, Shimoda M, Tanei T, Seno S, Matsuda H, Noguchi S, Shimazu K. Kim SJ, et al. Among authors: matsuda h. Transl Oncol. 2021 Feb;14(2):100986. doi: 10.1016/j.tranon.2020.100986. Epub 2020 Dec 16. Transl Oncol. 2021. PMID: 33340887 Free PMC article.

3

Improvement of detection performance of fusion genes from RNA-seq data by clustering short reads.

Sota Y, Seno S, Shigeta H, Osato N, Shimoda M, Noguchi S, Matsuda H. Sota Y, et al. Among authors: matsuda h. J Bioinform Comput Biol. 2019 Jun;17(3):1940008. doi: 10.1142/S0219720019400080. J Bioinform Comput Biol. 2019. PMID: 31288642

4

Inference of S-system models of gene regulatory networks using immune algorithm.

Nakayama T, Seno S, Takenaka Y, Matsuda H. Nakayama T, et al. Among authors: matsuda h. J Bioinform Comput Biol. 2011 Dec;9 Suppl 1:75-86. doi: 10.1142/s0219720011005768. J Bioinform Comput Biol. 2011. PMID: 22144255

5

Perfect Hamming code with a hash table for faster genome mapping.

Takenaka Y, Seno S, Matsuda H. Takenaka Y, et al. Among authors: matsuda h. BMC Genomics. 2011 Nov 30;12 Suppl 3(Suppl 3):S8. doi: 10.1186/1471-2164-12-S3-S8. Epub 2011 Nov 30. BMC Genomics. 2011. PMID: 22369457 Free PMC article.

6

Detecting shifts in gene regulatory networks during time-course experiments at single-time-point temporal resolution.

Takenaka Y, Seno S, Matsuda H. Takenaka Y, et al. Among authors: matsuda h. J Bioinform Comput Biol. 2015 Oct;13(5):1543002. doi: 10.1142/S0219720015430027. Epub 2015 Sep 30. J Bioinform Comput Biol. 2015. PMID: 26508425

7

SC-JNMF: single-cell clustering integrating multiple quantification methods based on joint non-negative matrix factorization.

Shiga M, Seno S, Onizuka M, Matsuda H. Shiga M, et al. Among authors: matsuda h. PeerJ. 2021 Aug 27;9:e12087. doi: 10.7717/peerj.12087. eCollection 2021. PeerJ. 2021. PMID: 34532161 Free PMC article.

8

Metagenome fragment classification based on multiple motif-occurrence profiles.

Matsushita N, Seno S, Takenaka Y, Matsuda H. Matsushita N, et al. Among authors: matsuda h. PeerJ. 2014 Sep 4;2:e559. doi: 10.7717/peerj.559. eCollection 2014. PeerJ. 2014. PMID: 25210663 Free PMC article.

9

An estimation method for inference of gene regulatory net-work using Bayesian network with uniting of partial problems.

Watanabe Y, Seno S, Takenaka Y, Matsuda H. Watanabe Y, et al. Among authors: matsuda h. BMC Genomics. 2012;13 Suppl 1(Suppl 1):S12. doi: 10.1186/1471-2164-13-S1-S12. Epub 2012 Jan 17. BMC Genomics. 2012. PMID: 22369509 Free PMC article.

10

An estimation method for a cellular-state-specific gene regulatory network along tree-structured gene expression profiles.

Araki R, Seno S, Takenaka Y, Matsuda H. Araki R, et al. Among authors: matsuda h. Gene. 2013 Apr 10;518(1):17-25. doi: 10.1016/j.gene.2012.11.090. Epub 2012 Dec 21. Gene. 2013. PMID: 23266644 Free article.

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