Search Results - "Kiryu, Hisanori"

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  1. 1

    Identification of oxidative stress-related genes differentially expressed in Alzheimer’s disease and construction of a hub gene-based diagnostic model by Zhang, Yanting, Kiryu, Hisanori

    Published in Scientific reports (26-04-2023)
    “…Alzheimer’s disease (AD) is the most prevalent dementia disorder globally, and there are still no effective interventions for slowing or stopping the…”
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    Journal Article
  2. 2

    SCOUP: a probabilistic model based on the Ornstein-Uhlenbeck process to analyze single-cell expression data during differentiation by Matsumoto, Hirotaka, Kiryu, Hisanori

    Published in BMC bioinformatics (08-06-2016)
    “…Single-cell technologies make it possible to quantify the comprehensive states of individual cells, and have the power to shed light on cellular…”
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  3. 3

    MODEC: an unsupervised clustering method integrating omics data for identifying cancer subtypes by Zhang, Yanting, Kiryu, Hisanori

    Published in Briefings in bioinformatics (19-11-2022)
    “…The identification of cancer subtypes can help researchers understand hidden genomic mechanisms, enhance diagnostic accuracy and improve clinical treatments…”
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  4. 4

    SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation by Matsumoto, Hirotaka, Kiryu, Hisanori, Furusawa, Chikara, Ko, Minoru S H, Ko, Shigeru B H, Gouda, Norio, Hayashi, Tetsutaro, Nikaido, Itoshi

    Published in Bioinformatics (Oxford, England) (01-08-2017)
    “…The analysis of RNA-Seq data from individual differentiating cells enables us to reconstruct the differentiation process and the degree of differentiation (in…”
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  5. 5

    Parallel computation of genome-scale RNA secondary structure to detect structural constraints on human genome by Kawaguchi, Risa, Kiryu, Hisanori

    Published in BMC bioinformatics (06-05-2016)
    “…RNA secondary structure around splice sites is known to assist normal splicing by promoting spliceosome recognition. However, analyzing the structural…”
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  6. 6

    Estimation of population genetic parameters using an EM algorithm and sequence data from experimental evolution populations by Kojima, Yasuhiro, Matsumoto, Hirotaka, Kiryu, Hisanori

    Published in Bioinformatics (01-01-2020)
    “…Abstract Motivation Evolve and resequence (E&R) experiments show promise in capturing real-time evolution at genome-wide scales, enabling the assessment of…”
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  7. 7

    Sufficient statistics and expectation maximization algorithms in phylogenetic tree models by KIRYU, Hisanori

    Published in Bioinformatics (Oxford, England) (01-09-2011)
    “…Measuring evolutionary conservation is a routine step in the identification of functional elements in genome sequences. Although a number of studies have…”
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  8. 8

    Prediction of RNA secondary structure using generalized centroid estimators by Hamada, Michiaki, Kiryu, Hisanori, Sato, Kengo, Mituyama, Toutai, Asai, Kiyoshi

    Published in Bioinformatics (15-02-2009)
    “…Motivation: Recent studies have shown that the methods for predicting secondary structures of RNAs on the basis of posterior decoding of the base-pairing…”
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  9. 9

    reactIDR: evaluation of the statistical reproducibility of high-throughput structural analyses towards a robust RNA structure prediction by Kawaguchi, Risa, Kiryu, Hisanori, Iwakiri, Junichi, Sese, Jun

    Published in BMC bioinformatics (29-03-2019)
    “…Recently, next-generation sequencing techniques have been applied for the detection of RNA secondary structures, which is referred to as high-throughput RNA…”
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  10. 10

    A fast structural multiple alignment method for long RNA sequences by Tabei, Yasuo, Kiryu, Hisanori, Kin, Taishin, Asai, Kiyoshi

    Published in BMC bioinformatics (23-01-2008)
    “…Aligning multiple RNA sequences is essential for analyzing non-coding RNAs. Although many alignment methods for non-coding RNAs, including Sankoff's algorithm…”
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  11. 11

    Rchange: algorithms for computing energy changes of RNA secondary structures in response to base mutations by KIRYU, Hisanori, ASAI, Kiyoshi

    Published in Bioinformatics (Oxford, England) (15-04-2012)
    “…Measuring the effects of base mutations is a powerful tool for functional and evolutionary analyses of RNA structures. To date, only a few methods have been…”
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  12. 12

    Integrating dilution-based sequencing and population genotypes for single individual haplotyping by Matsumoto, Hirotaka, Kiryu, Hisanori

    Published in BMC genomics (28-08-2014)
    “…Haplotype information is useful for many genetic analyses and haplotypes are usually inferred using computational approaches. Among such approaches, the…”
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  13. 13

    A detailed investigation of accessibilities around target sites of siRNAs and miRNAs by Kiryu, Hisanori, Terai, Goro, Imamura, Osamu, Yoneyama, Hiroyuki, Suzuki, Kenji, Asai, Kiyoshi

    Published in Bioinformatics (01-07-2011)
    “…Motivation: The importance of RNA sequence analysis has been increasing since the discovery of various types of non-coding RNAs transcribed in animal cells…”
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  14. 14

    TMRS: an algorithm for computing the time to the most recent substitution event from a multiple alignment column by Kiryu, Hisanori, Ichikawa, Yuto, Kojima, Yasuhiro

    Published in Algorithms for molecular biology (18-11-2019)
    “…As the number of sequenced genomes grows, researchers have access to an increasingly rich source for discovering detailed evolutionary information. However,…”
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  15. 15

    Murlet: a practical multiple alignment tool for structural RNA sequences by Kiryu, Hisanori, Tabei, Yasuo, Kin, Taishin, Asai, Kiyoshi

    Published in Bioinformatics (01-07-2007)
    “…Motivation: Structural RNA genes exhibit unique evolutionary patterns that are designed to conserve their secondary structures; these patterns should be taken…”
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  16. 16

    Rfold: an exact algorithm for computing local base pairing probabilities by Kiryu, Hisanori, Kin, Taishin, Asai, Kiyoshi

    Published in Bioinformatics (01-02-2008)
    “…Motivation: Base pairing probability matrices have been frequently used for the analyses of structural RNA sequences. Recently, there has been a growing need…”
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  17. 17

    CentroidAlign: fast and accurate aligner for structured RNAs by maximizing expected sum-of-pairs score by Hamada, Michiaki, Sato, Kengo, Kiryu, Hisanori, Mituyama, Toutai, Asai, Kiyoshi

    Published in Bioinformatics (15-12-2009)
    “…Motivation: The importance of accurate and fast predictions of multiple alignments for RNA sequences has increased due to recent findings about functional…”
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  18. 18

    Predictions of RNA secondary structure by combining homologous sequence information by Hamada, Michiaki, Sato, Kengo, Kiryu, Hisanori, Mituyama, Toutai, Asai, Kiyoshi

    Published in Bioinformatics (15-06-2009)
    “…Motivation: Secondary structure prediction of RNA sequences is an important problem. There have been progresses in this area, but the accuracy of prediction…”
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  19. 19

    Generalized centroid estimators in bioinformatics by Hamada, Michiaki, Kiryu, Hisanori, Iwasaki, Wataru, Asai, Kiyoshi

    Published in PloS one (18-02-2011)
    “…In a number of estimation problems in bioinformatics, accuracy measures of the target problem are usually given, and it is important to design estimators that…”
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  20. 20

    Robust prediction of consensus secondary structures using averaged base pairing probability matrices by Kiryu, Hisanori, Kin, Taishin, Asai, Kiyoshi

    Published in Bioinformatics (15-02-2007)
    “…Motivation: Recent transcriptomic studies have revealed the existence of a considerable number of non-protein-coding RNA transcripts in higher eukaryotic…”
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