| IMP dehydrogenase-2 drives aberrant nucleolar activity and promotes tumorigenesis in glioblastoma S Kofuji, A Hirayama, AO Eberhardt, R Kawaguchi, Y Sugiura, ... Nature cell biology 21 (8), 1003-1014, 2019 | 118 | 2019 |
| Intraductal transplantation models of human pancreatic ductal adenocarcinoma reveal progressive transition of molecular subtypes K Miyabayashi, LA Baker, A Deschênes, B Traub, G Caligiuri, D Plenker, ... Cancer discovery 10 (10), 1566-1589, 2020 | 100 | 2020 |
| Split-alignment of genomes finds orthologies more accurately MC Frith, R Kawaguchi Genome biology 16, 1-17, 2015 | 89 | 2015 |
| Fine-tuning approach for segmentation of gliomas in brain magnetic resonance images with a machine learning method to normalize image differences among facilities S Takahashi, M Takahashi, M Kinoshita, M Miyake, R Kawaguchi, ... Cancers 13 (6), 1415, 2021 | 34 | 2021 |
| Parallel computation of genome-scale RNA secondary structure to detect structural constraints on human genome R Kawaguchi, H Kiryu BMC bioinformatics 17 (1), 203, 2016 | 32 | 2016 |
| Assessing versatile machine learning models for glioma radiogenomic studies across hospitals RK Kawaguchi, M Takahashi, M Miyake, M Kinoshita, S Takahashi, ... Cancers 13 (14), 3611, 2021 | 15 | 2021 |
| The transcriptional legacy of developmental stochasticity S Ballouz, RK Kawaguchi, MT Pena, S Fischer, M Crow, L French, ... Nature Communications 14 (1), 7226, 2023 | 13 | 2023 |
| Identification of lysine methylation in the core GTPase domain by GoMADScan H Yoshino, G Yin, R Kawaguchi, KI Popov, B Temple, M Sasaki, S Kofuji, ... PLoS One 14 (8), e0219436, 2019 | 9 | 2019 |
| Comprehensive in virio structure probing analysis of the influenza A virus identifies functional RNA structures involved in viral genome replication N Takizawa, RK Kawaguchi Computational and Structural Biotechnology Journal 21, 5259-5272, 2023 | 5 | 2023 |
| A functional RNA structure in the influenza A virus ribonucleoprotein complex for segment bundling N Takizawa, K Higashi, RK Kawaguchi, Y Gotoh, Y Suzuki, T Hayashi, ... Elsevier Limited, 2020 | 5 | 2020 |
| Prevalent and dynamic binding of the cell cycle checkpoint kinase Rad53 to gene promoters YJ Sheu, RK Kawaguchi, J Gillis, B Stillman Elife 11, e84320, 2022 | 4 | 2022 |
| reactIDR: evaluation of the statistical reproducibility of high-throughput structural analyses towards a robust RNA structure prediction R Kawaguchi, H Kiryu, J Iwakiri, J Sese BMC bioinformatics 20, 15-24, 2019 | 3 | 2019 |
| Learning single-cell chromatin accessibility profiles using meta-analytic marker genes RK Kawaguchi, Z Tang, S Fischer, C Rajesh, R Tripathy, PK Koo, J Gillis Briefings in Bioinformatics 24 (1), bbac541, 2023 | 2 | 2023 |
| Exploiting marker genes for robust classification and characterization of single-cell chromatin accessibility RK Kawaguchi, Z Tang, S Fischer, R Tripathy, PK Koo, J Gillis BioRxiv, 2021.04. 01.438068, 2021 | 2 | 2021 |
| Rna structure prediction RK Kawaguchi, J Iwakiri Humana Press, 2023 | 1 | 2023 |
| Development of fine-tuning method of MR images of gliomas to normalize image differences among facilities S Takahashi, M Takahashi, M Kinoshita, M Miyake, R Kawaguchi, ... CANCER SCIENCE 112, 950-950, 2021 | 1 | 2021 |
| Correction to: RNA Structure Prediction RK Kawaguchi, J Iwakiri RNA Structure Prediction, C1-C1, 2023 | | 2023 |
| RNA Secondary Structure Alteration Caused by Single Nucleotide Variants RK Kawaguchi, H Kiryu RNA Structure Prediction, 107-120, 2023 | | 2023 |
| Genome-Wide RNA Secondary Structure Prediction RK Kawaguchi, H Kiryu RNA Structure Prediction, 35-48, 2023 | | 2023 |
| Correction: Identification of lysine methylation in the core GTPase domain by GoMADScan H Yoshino, G Yin, R Kawaguchi, KI Popov, B Temple, M Sasaki, S Kofuji, ... Plos one 14 (10), e0224443, 2019 | | 2019 |
Jun SeseHumanome Lab Inc.Verified email at humanome.jp
