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Items: 1 to 20 of 28

1.

The power-integrated discriminant improvement: An accurate measure of the incremental predictive value of additional biomarkers.

Hayashi K, Eguchi S.

Stat Med. 2019 Jun 30;38(14):2589-2604. doi: 10.1002/sim.8135. Epub 2019 Mar 12.

PMID:
30859601
2.

Diurnal Transcriptome and Gene Network Represented through Sparse Modeling in Brachypodium distachyon.

Koda S, Onda Y, Matsui H, Takahagi K, Yamaguchi-Uehara Y, Shimizu M, Inoue K, Yoshida T, Sakurai T, Honda H, Eguchi S, Nishii R, Mochida K.

Front Plant Sci. 2017 Nov 28;8:2055. doi: 10.3389/fpls.2017.02055. eCollection 2017.

3.

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.

4.

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.

5.

Robust Clustering Method in the Presence of Scattered Observations.

Notsu A, Eguchi S.

Neural Comput. 2016 Jun;28(6):1141-62. doi: 10.1162/NECO_a_00833. Epub 2016 Mar 4.

PMID:
26942745
6.

Risk assessment of radioisotope contamination for aquatic living resources in and around Japan.

Okamura H, Ikeda S, Morita T, Eguchi S.

Proc Natl Acad Sci U S A. 2016 Apr 5;113(14):3838-43. doi: 10.1073/pnas.1519792113. Epub 2016 Feb 29.

7.

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
8.

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
9.

Statistical analysis of biomarkers for personalized medicine.

Eguchi S, Matsui S, Huang SY, Hsiao CK.

Comput Math Methods Med. 2013;2013:467420. doi: 10.1155/2013/467420. Epub 2013 Nov 6. No abstract available.

10.

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
11.

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.

12.

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
13.

Robust QTL analysis by minimum beta-divergence method.

Mollah MN, Eguchi S.

Int J Data Min Bioinform. 2010;4(4):471-85.

PMID:
20815143
14.

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.

15.

Robust extraction of local structures by the minimum beta-divergence method.

Mollah MN, Sultana N, Minami M, Eguchi S.

Neural Netw. 2010 Mar;23(2):226-38. doi: 10.1016/j.neunet.2009.11.011. Epub 2009 Nov 18.

PMID:
19963342
16.

Robust kernel principal component analysis.

Huang SY, Yeh YR, Eguchi S.

Neural Comput. 2009 Nov;21(11):3179-213. doi: 10.1162/neco.2009.02-08-706.

PMID:
19686071
17.

SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip.

Fujisawa H, Horiuchi Y, Harushima Y, Takada T, Eguchi S, Mochizuki T, Sakaguchi T, Shiroishi T, Kurata N.

BMC Bioinformatics. 2009 May 6;10:131. doi: 10.1186/1471-2105-10-131.

18.

Boosting method for local learning in statistical pattern recognition.

Kawakita M, Eguchi S.

Neural Comput. 2008 Nov;20(11):2792-838. doi: 10.1162/neco.2008.06-07-549.

PMID:
18533822
19.

Robust boosting algorithm against mislabeling in multiclass problems.

Takenouchi T, Eguchi S, Murata N, Kanamori T.

Neural Comput. 2008 Jun;20(6):1596-630. doi: 10.1162/neco.2007.11-06-400.

PMID:
18194110
20.

Confidence intervals and P-values for meta-analysis with publication bias.

Henmi M, Copas JB, Eguchi S.

Biometrics. 2007 Jun;63(2):475-82.

PMID:
17688500

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