Publications by authors named "Keith Boroevich"

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Voltage-matrix nanopore profiling for the discrimination of protein mixtures.
Ryo Akita, Artem Lysenko, Keith A Boroevich, Tatsuya Yokota, Daiki Kawai

Chem Sci· October 2025

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scHDeepInsight: a hierarchical deep learning framework for precise immune cell annotation in single-cell RNA-seq data.
Shangru Jia, Artem Lysenko, Keith A Boroevich, Alok Sharma, Tatsuhiko Tsunoda

Brief Bioinform· August 2025

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VBayesMM: variational Bayesian neural network to prioritize important relationships of high-dimensional microbiome multiomics data.
Tung Dang, Artem Lysenko, Keith A Boroevich, Tatsuhiko Tsunoda

Brief Bioinform· July 2025

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Advances in AI and machine learning for predictive medicine.
Alok Sharma, Artem Lysenko, Shangru Jia, Keith A Boroevich, Tatsuhiko Tsunoda

J Hum Genet· October 2024

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Enhanced analysis of tabular data through Multi-representation DeepInsight.
Alok Sharma, Yosvany López, Shangru Jia, Artem Lysenko, Keith A Boroevich

Sci Rep· June 2024

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scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning.
Shangru Jia, Artem Lysenko, Keith A Boroevich, Alok Sharma, Tatsuhiko Tsunoda

Brief Bioinform· September 2023

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Topologically associating domain underlies tissue specific expression of long intergenic non-coding RNAs.
Yu Hamba, Takashi Kamatani, Fuyuki Miya, Keith A Boroevich, Tatsuhiko Tsunoda

iScience· May 2023

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Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal, Jeremiah A Wala, Ofer Shapira, Keith A Boroevich

Nature· February 2023

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DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics.
Alok Sharma, Artem Lysenko, Keith A Boroevich, Tatsuhiko Tsunoda

Sci Rep· February 2023

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Association between high immune activity and worse prognosis in uveal melanoma and low-grade glioma in TCGA transcriptomic data.
Hitoshi Matsuo, Takashi Kamatani, Yu Hamba, Keith A Boroevich, Tatsuhiko Tsunoda

BMC Genomics· May 2022

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Immune subtypes and neoantigen-related immune evasion in advanced colorectal cancer.
Toshitaka Sugawara, Fuyuki Miya, Toshiaki Ishikawa, Artem Lysenko, Jo Nishino, Keith A Boroevich

iScience· February 2022

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DeepFeature: feature selection in nonimage data using convolutional neural network.
Alok Sharma, Artem Lysenko, Keith A Boroevich, Edwin Vans, Tatsuhiko Tsunoda

Brief Bioinform· November 2021

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Clinical usefulness of multigene screening with phenotype-driven bioinformatics analysis for the diagnosis of patients with monogenic diabetes or severe insulin resistance.
Jun Hosoe, Fuyuki Miya, Hiroko Kadowaki, Toyofumi Fujiwara, Ken Suzuki, Keith A Boroevich

Diabetes Res Clin Pract· November 2020

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Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer's disease created by integrative analysis of multi-omics data.
Daichi Shigemizu, Shintaro Akiyama, Sayuri Higaki, Taiki Sugimoto, Takashi Sakurai, Keith A Boroevich

Alzheimers Res Ther· November 2020

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Quantification of multicellular colonization in tumor metastasis using exome-sequencing data.
Jo Nishino, Shuichi Watanabe, Fuyuki Miya, Takashi Kamatani, Toshitaka Sugawara, Keith A Boroevich

Int J Cancer· May 2020

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Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data.
Daichi Shigemizu, Shintaro Akiyama, Yuya Asanomi, Keith A Boroevich, Alok Sharma

Commun Biol· April 2020

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Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal, Jeremiah A Wala, Ofer Shapira, Keith A Boroevich

Nature· February 2020

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A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data.
Daichi Shigemizu, Shintaro Akiyama, Yuya Asanomi, Keith A Boroevich, Alok Sharma

BMC Med Genomics· October 2019

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DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture.
Alok Sharma, Edwin Vans, Daichi Shigemizu, Keith A Boroevich, Tatsuhiko Tsunoda

Sci Rep· August 2019

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An integrative machine learning approach for prediction of toxicity-related drug safety.
Artem Lysenko, Alok Sharma, Keith A Boroevich, Tatsuhiko Tsunoda

Life Sci Alliance· December 2018

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A novel homozygous missense mutation in the SH3-binding motif of STAMBP causing microcephaly-capillary malformation syndrome.
Ikumi Hori, Fuyuki Miya, Yutaka Negishi, Ayako Hattori, Naoki Ando, Keith A Boroevich

J Hum Genet· September 2018

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Publisher Correction: IMSindel: An accurate intermediate-size indel detection tool incorporating de novo assembly and gapped global-local alignment with split read analysis.
Daichi Shigemizu, Fuyuki Miya, Shintaro Akiyama, Shujiro Okuda, Keith A Boroevich

Sci Rep· July 2018

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Integrated analysis of human genetic association study and mouse transcriptome suggests LBH and SHF genes as novel susceptible genes for amyloid-β accumulation in Alzheimer's disease.
Yumi Yamaguchi-Kabata, Takashi Morihara, Tomoyuki Ohara, Toshiharu Ninomiya, Atsushi Takahashi, Keith A Boroevich

Hum Genet· July 2018

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IMSindel: An accurate intermediate-size indel detection tool incorporating de novo assembly and gapped global-local alignment with split read analysis.
Daichi Shigemizu, Fuyuki Miya, Shintaro Akiyama, Shujiro Okuda, Keith A Boroevich

Sci Rep· April 2018

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Empirical Bayes Estimation of Semi-parametric Hierarchical Mixture Models for Unbiased Characterization of Polygenic Disease Architectures.
Jo Nishino, Yuta Kochi, Daichi Shigemizu, Mamoru Kato, Katsunori Ikari, Keith A Boroevich

Front Genet· April 2018

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