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Items: 11

1.

Development of novel diagnostic system for pancreatic cancer, including early stages, measuring mRNA of whole blood cells.

Sakai Y, Honda M, Matsui S, Komori O, Murayama T, Fujiwara T, Mizuno M, Imai Y, Yoshimura K, Nasti A, Wada T, Iida N, Kitahara M, Horii R, Toshikatsu T, Nishikawa M, Okafuji H, Mizukoshi E, Yamashita T, Yamashita T, Arai K, Kitamura K, Kawaguchi K, Takatori H, Shimakami T, Terashima T, Hayashi T, Nio K, Kaneko S; Hokuriku Liver Study Group.

Cancer Sci. 2019 Apr;110(4):1364-1388. doi: 10.1111/cas.13971. Epub 2019 Mar 27.

2.

Quasi-linear score for capturing heterogeneous structure in biomarkers.

Omae K, Komori O, Eguchi S.

BMC Bioinformatics. 2017 Jun 19;18(1):308. doi: 10.1186/s12859-017-1721-x.

3.

Reproducible detection of disease-associated markers from gene expression data.

Omae K, Komori O, Eguchi S.

BMC Med Genomics. 2016 Aug 18;9(1):53. doi: 10.1186/s12920-016-0214-5.

4.

Erratum to: Preoperative predictive factors and further risk stratification of biochemical recurrence in clinically localized high-risk prostate cancer.

Hamada R, Nakashima J, Ohori M, Ohno Y, Komori O, Yoshioka K, Tachibana M.

Int J Clin Oncol. 2016 Jun;21(3):601. No abstract available.

PMID:
26746688
5.

Preoperative predictive factors and further risk stratification of biochemical recurrence in clinically localized high-risk prostate cancer.

Hamada R, Nakashima J, Ohori M, Ohno Y, Komori O, Yoshioka K, Tachibana M.

Int J Clin Oncol. 2016 Jun;21(3):595-600. doi: 10.1007/s10147-015-0923-3. Epub 2015 Nov 19. Erratum in: Int J Clin Oncol. 2016 Jun;21(3):601.

PMID:
26585896
6.

Generalized t-statistic for two-group classification.

Komori O, Eguchi S, Copas JB.

Biometrics. 2015 Jun;71(2):404-16. doi: 10.1111/biom.12265. Epub 2014 Oct 30.

PMID:
25359078
7.

Individualized prostate-specific antigen threshold values to avoid overdiagnosis of prostate cancer and reduce unnecessary biopsy in elderly men.

Kanao K, Komori O, Nakashima J, Ohigashi T, Kikuchi E, Miyajima A, Nakagawa K, Eguchi S, Oya M.

Jpn J Clin Oncol. 2014 Sep;44(9):852-9. doi: 10.1093/jjco/hyu084. Epub 2014 Jul 16.

PMID:
25030213
8.

Spontaneous clustering via minimum γ-divergence.

Notsu A, Komori O, Eguchi S.

Neural Comput. 2014 Feb;26(2):421-48. doi: 10.1162/NECO_a_00547. Epub 2013 Nov 8.

PMID:
24206383
9.

Multiple suboptimal solutions for prediction rules in gene expression data.

Komori O, Pritchard M, Eguchi S.

Comput Math Methods Med. 2013;2013:798189. doi: 10.1155/2013/798189. Epub 2013 Apr 16.

10.

An extension of the receiver operating characteristic curve and AUC-optimal classification.

Takenouchi T, Komori O, Eguchi S.

Neural Comput. 2012 Oct;24(10):2789-824. doi: 10.1162/NECO_a_00336. Epub 2012 Jun 26.

PMID:
22734493
11.

A boosting method for maximizing the partial area under the ROC curve.

Komori O, Eguchi S.

BMC Bioinformatics. 2010 Jun 10;11:314. doi: 10.1186/1471-2105-11-314.

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