H. Toyoshiba

发表

The TAO-Gen Algorithm for Identifying Gene Interaction Networks with Application to SOS Repair in E. coli

T. Yamanaka, H. Toyoshiba, H. Sone, 2004, Environmental health perspectives.

Relative quantitation of p53 and MDM2 gene expression in leiomyosarcoma; real-time semi-quantitative reverse transcription-polymerase chain reaction.

H. Toyoshiba, Y. Oda, M. Tsuneyoshi, 2001, Cancer letters.

Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia.

Nick C. Fox, Pietro Pietrini, Alexander Gerhard, 2018, Nature Medicine.

Gene Expression Elucidates Functional Impact of Polygenic Risk for Schizophrenia

Benjamin A. Logsdon, Kristen K. Dang, K. Roeder, 2016, Nature Neuroscience.

The project for objective measures using computational psychiatry technology (PROMPT): Rationale, design, and methodology

Y. Sakakibara, M. Mimura, M. Yoshimura, 2019, Contemporary clinical trials communications.

Multi-Parametric Profiling Network Based on Gene Expression and Phenotype Data: A Novel Approach to Developmental Neurotoxicity Testing

H. Toyoshiba, H. Sone, J. Yoshinaga, 2011, International journal of molecular sciences.

Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS

Benjamin A. Logsdon, Kristen K. Dang, Benjamin S. Glicksberg, 2018, American journal of human genetics.

Gene Interaction Network Suggests Dioxin Induces a Significant Linkage between Aryl Hydrocarbon Receptor and Retinoic Acid Receptor Beta

T. Yamanaka, H. Toyoshiba, H. Sone, 2004, Environmental health perspectives.

Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study

H. Toyoshiba, C. Ochiai, Hayao Nakatani, 2020, JMIR medical informatics.

Importance of CDK7 for G1 Re-Entry into the Mammalian Cell Cycle and Identification of New Downstream Networks Using a Computational Method

T. Yamanaka, H. Toyoshiba, H. Sone, 2010 .

Vector Fields in the Interior of Kupka–Smale Systems Satisfy Axiom A

H. Toyoshiba, 2001 .

Multiomic disease signatures converge to cytotoxic CD8 T cells in primary Sjögren’s syndrome

R. Morita, A. Yoshimura, H. Toyoshiba, 2017, Annals of the rheumatic diseases.

Ichiro Naeshiro, Hiroshi Sawada, H. Toyoshiba, 2009, Toxicology letters.

A property of vector fields without singularity in {\mathcal G}^1(M)

H. Toyoshiba, 2001, Ergodic Theory and Dynamical Systems.

Bayesian Network Reconstruction Using Systems Genetics Data: Comparison of MCMC Methods

Elias Chaibub Neto, Benjamin A. Sauerwine, Bruce Hoff, 2015, Genetics.

Gene regulatory network analysis defines transcriptome landscape with alternative splicing of human umbilical vein endothelial cells during replicative senescence

S. Aparicio, H. Toyoshiba, Atsushi Nakanishi, 2021, BMC Genomics.

Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

Benjamin A. Logsdon, Hae Kyung Im, Solveig K Sieberts, 2019, Nature Genetics.

Multi-omics monitoring of drug response in rheumatoid arthritis in pursuit of molecular remission

R. Morita, A. Yoshimura, H. Toyoshiba, 2018, Nature Communications.

Decoding Transcriptome Dynamics of Genome-Encoded Polyadenylation and Autoregulation with Small-Molecule Modulators of Alternative Polyadenylation.

S. Aparicio, H. Toyoshiba, Atsushi Nakanishi, 2018, Cell chemical biology.

Gene interaction network analysis suggests differences between high and low doses of acetaminophen.

Christopher J Portier, Takeharu Yamanaka, T. Yamanaka, 2006, Toxicology and applied pharmacology.

Identifying neurocognitive disorder using vector representation of free conversation

M. Mimura, T. Kishimoto, H. Toyoshiba, 2022, Scientific Reports.

CLK-dependent exon recognition and conjoined gene formation revealed with a novel small molecule inhibitor

Christopher S. Hughes, Jamie Rosner, S. McKinney, 2017, Nature Communications.

Comparison of the 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)-induced CYP1A1 gene expression profile in lymphocytes from mice, rats, and humans: most potent induction in humans.

C. Tohyama, H. Toyoshiba, K. Nohara, 2006, Toxicology.

Publisher Correction: Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

Kristen K. Dang, D. A. Lewis, C. Spencer, 2019, Nature Genetics.

Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia.

Nick C Fox, Alan J. Thomas, D. Hernandez, 2018, Nature Medicine.

Comparative Analysis of Gene Networks at Multiple Doses and Time Points in Livers of Rats Exposed to Acetaminophen

H. Toyoshiba, H. Sone, F. Parham, 2005 .

Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study

Tomohide Yamada, Daisuke Yoneoka, Yuta Hiraike, 2020, Journal of medical Internet research.

Evaluation of toxic equivalency factors for induction of cytochromes P450 CYP1A1 and CYP1A2 enzyme activity by dioxin-like compounds.

Nigel J Walker, A John Bailer, Christopher J Portier, 2004, Toxicology and applied pharmacology.

Nucleus accumbens pathways control cell-specific gene expression in the medial prefrontal cortex

A. Sawa, T. Hikida, H. Toyoshiba, 2020, Scientific Reports.

CLK-dependent exon recognition and conjoined gene formation revealed with a novel small molecule inhibitor

Christopher S. Hughes, S. Aparicio, Jamie Rosner, 2017, Nature Communications.

Gene regulatory network analysis defines transcriptome landscape with alternative splicing of human umbilical vein endothelial cells during replicative senescence

S. Aparício, H. Toyoshiba, Atsushi Nakanishi, 2021, BMC Genomics.

Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study

Tomohide Yamada, H. Toyoshiba, D. Yoneoka, 2020, Journal of Medical Internet Research.

Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study

H. Toyoshiba, C. Ochiai, Hayao Nakatani, 2019, JMIR medical informatics.