Pesquisa | BVS Violência e Saúde

1.

Principal component analysis- and tensor decomposition-based unsupervised feature extraction to select more suitable differentially methylated cytosines: Optimization of standard deviation versus state-of-the-art methods.

Taguchi, Y-H; Turki, Turki.

Genomics ; 115(2): 110577, 2023 03.

Artigo em Inglês | MEDLINE | ID: mdl-36804268

2.

Bioinformatic tools for epitranscriptomics.

Taguchi, Y-H.

Am J Physiol Cell Physiol ; 324(2): C447-C457, 2023 02 01.

Artigo em Inglês | MEDLINE | ID: mdl-36468841

3.

Identifying suitable tools for variant detection and differential gene expression using RNA-seq data.

Dharshini, S Akila Parvathy; Taguchi, Y-H; Gromiha, M Michael.

Genomics ; 112(3): 2166-2172, 2020 05.

Artigo em Inglês | MEDLINE | ID: mdl-31862361

4.

Exploring the selective vulnerability in Alzheimer disease using tissue specific variant analysis.

Akila Parvathy Dharshini, S; Taguchi, Y-H; Michael Gromiha, M.

Genomics ; 111(4): 936-949, 2019 07.

Artigo em Inglês | MEDLINE | ID: mdl-29879491

5.

Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data.

Taguchi, Y-H.

BMC Bioinformatics ; 19(Suppl 13): 388, 2019 Feb 04.

Artigo em Inglês | MEDLINE | ID: mdl-30717646

6.

Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes.

Taguchi, Y-H.

BMC Bioinformatics ; 19(Suppl 4): 99, 2018 05 08.

Artigo em Inglês | MEDLINE | ID: mdl-29745827

7.

Collaborative environmental DNA sampling from petal surfaces of flowering cherry Cerasus × yedoensis 'Somei-yoshino' across the Japanese archipelago.

Ohta, Tazro; Kawashima, Takeshi; Shinozaki, Natsuko O; Dobashi, Akito; Hiraoka, Satoshi; Hoshino, Tatsuhiko; Kanno, Keiichi; Kataoka, Takafumi; Kawashima, Shuichi; Matsui, Motomu; Nemoto, Wataru; Nishijima, Suguru; Suganuma, Natsuki; Suzuki, Haruo; Taguchi, Y-H; Takenaka, Yoichi; Tanigawa, Yosuke; Tsuneyoshi, Momoka; Yoshitake, Kazutoshi; Sato, Yukuto; Yamashita, Riu; Arakawa, Kazuharu; Iwasaki, Wataru.

J Plant Res ; 131(4): 709-717, 2018 Jul.

Artigo em Inglês | MEDLINE | ID: mdl-29460198

8.

Exploring microRNA Biomarker for Amyotrophic Lateral Sclerosis.

Taguchi, Y-H; Wang, Hsiuying.

Int J Mol Sci ; 19(5)2018 Apr 28.

Artigo em Inglês | MEDLINE | ID: mdl-29710810

9.

Expression of Serum Exosomal and Esophageal MicroRNA in Rat Reflux Esophagitis.

Uemura, Risa; Murakami, Yoshiki; Hashimoto, Atsushi; Sawada, Akinari; Otani, Koji; Taira, Koichi; Hosomi, Shuhei; Nagami, Yasuaki; Tanaka, Fumio; Kamata, Noriko; Yamagami, Hirokazu; Tanigawa, Tetsuya; Watanabe, Toshio; Taguchi, Y-H; Fujiwara, Yasuhiro.

Int J Mol Sci ; 18(8)2017 Jul 25.

Artigo em Inglês | MEDLINE | ID: mdl-28757556

10.

Microarray analysis of circulating microRNAs in familial Mediterranean fever.

Wada, Taizo; Toma, Tomoko; Matsuda, Yusuke; Yachie, Akihiro; Itami, Saori; Taguchi, Y-H; Murakami, Yoshiki.

Mod Rheumatol ; 27(6): 1040-1046, 2017 Nov.

Artigo em Inglês | MEDLINE | ID: mdl-28165838

11.

MicroRNA expression in hepatocellular carcinoma after the eradication of chronic hepatitis virus C infection using interferon therapy.

Tamori, Akihiro; Murakami, Yoshiki; Kubo, Shoji; Itami, Saori; Uchida-Kobayashi, Sawako; Morikawa, Hiroyasu; Enomoto, Masaru; Takemura, Shigekazu; Tanahashi, Toshihito; Taguchi, Y-H; Kawada, Norifumi.

Hepatol Res ; 46(3): E26-35, 2016 Mar.

Artigo em Inglês | MEDLINE | ID: mdl-25788219

12.

Identification of More Feasible MicroRNA-mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction.

Taguchi, Y-H.

Int J Mol Sci ; 17(5)2016 May 10.

Artigo em Inglês | MEDLINE | ID: mdl-27171078

13.

Identification of aberrant gene expression associated with aberrant promoter methylation in primordial germ cells between E13 and E16 rat F3 generation vinclozolin lineage.

Taguchi, Y-h.

BMC Bioinformatics ; 16 Suppl 18: S16, 2015.

Artigo em Inglês | MEDLINE | ID: mdl-26677731

14.

Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease.

Taguchi, Y-h; Iwadate, Mitsuo; Umeyama, Hideaki.

BMC Bioinformatics ; 16: 139, 2015 Apr 30.

Artigo em Inglês | MEDLINE | ID: mdl-25925353

15.

TINAGL1 and B3GALNT1 are potential therapy target genes to suppress metastasis in non-small cell lung cancer.

Umeyama, Hideaki; Iwadate, Mitsuo; Taguchi, Y-h.

BMC Genomics ; 15 Suppl 9: S2, 2014.

Artigo em Inglês | MEDLINE | ID: mdl-25521548

16.

Characterization of circulating miRNAs in the treatment of primary liver tumors.

Umezu, Tomohiro; Tanaka, Shogo; Kubo, Shoji; Enomoto, Masaru; Tamori, Akihiro; Ochiya, Takahiro; Taguchi, Y-H; Kuroda, Masahiko; Murakami, Yoshiki.

Cancer Rep (Hoboken) ; 7(2): e1964, 2024 02.

Artigo em Inglês | MEDLINE | ID: mdl-38146079

17.

A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cells.

Turki, Turki; Taguchi, Y-H.

Gene ; 853: 147038, 2023 Feb 15.

Artigo em Inglês | MEDLINE | ID: mdl-36503891

18.

Tensor decomposition discriminates tissues using scATAC-seq.

Taguchi, Y-H; Turki, Turki.

Biochim Biophys Acta Gen Subj ; 1867(6): 130360, 2023 06.

Artigo em Inglês | MEDLINE | ID: mdl-37003566

19.

Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction.

Taguchi, Y-H; Turki, Turki.

Front Artif Intell ; 6: 1237542, 2023.

Artigo em Inglês | MEDLINE | ID: mdl-37719083

20.

Features extracted using tensor decomposition reflect the biological features of the temporal patterns of human blood multimodal metabolome.

Fujita, Suguru; Karasawa, Yasuaki; Hironaka, Ken-Ichi; Taguchi, Y-H; Kuroda, Shinya.

PLoS One ; 18(2): e0281594, 2023.

Artigo em Inglês | MEDLINE | ID: mdl-36791130

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Principal component analysis- and tensor decomposition-based unsupervised feature extraction to select more suitable differentially methylated cytosines: Optimization of standard deviation versus state-of-the-art methods.

Bioinformatic tools for epitranscriptomics.

Identifying suitable tools for variant detection and differential gene expression using RNA-seq data.

Exploring the selective vulnerability in Alzheimer disease using tissue specific variant analysis.

Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data.

Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes.

Collaborative environmental DNA sampling from petal surfaces of flowering cherry Cerasus × yedoensis 'Somei-yoshino' across the Japanese archipelago.

Exploring microRNA Biomarker for Amyotrophic Lateral Sclerosis.

Expression of Serum Exosomal and Esophageal MicroRNA in Rat Reflux Esophagitis.

Microarray analysis of circulating microRNAs in familial Mediterranean fever.

MicroRNA expression in hepatocellular carcinoma after the eradication of chronic hepatitis virus C infection using interferon therapy.

Identification of More Feasible MicroRNA-mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction.

Identification of aberrant gene expression associated with aberrant promoter methylation in primordial germ cells between E13 and E16 rat F3 generation vinclozolin lineage.

Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease.

TINAGL1 and B3GALNT1 are potential therapy target genes to suppress metastasis in non-small cell lung cancer.

Characterization of circulating miRNAs in the treatment of primary liver tumors.

A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cells.

Tensor decomposition discriminates tissues using scATAC-seq.

Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction.

Features extracted using tensor decomposition reflect the biological features of the temporal patterns of human blood multimodal metabolome.