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Scientific Reports
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March 14, 2025
Author Correction: Alzheimer's disease may develop from changes in the immune system, cell cycle, and protein processing following alterations in ribosome function
Akiko Yamakawa, Mutsumi Suganuma, Risa Mitsumori, et al.
Journal of Human Genetics
|
February 13, 2024
CRISPR/Cas9-mediated knock-in cells of the late-onset Alzheimer's disease-risk variant, SHARPIN G186R, reveal reduced NF-κB pathway and accelerated Aβ secretion
Yuya Asanomi, Tetsuaki Kimura, Nobuyoshi Shimoda, et al.
Molecular Psychiatry
|
March 10, 2022
Whole-genome sequencing reveals novel ethnicity-specific rare variants associated with Alzheimer's disease
Daichi Shigemizu, Yuya Asanomi, Shintaro Akiyama, et al.
Translational Psychiatry
|
April 8, 2026
Whole-genome sequencing reveals an East Asian-specific rare variant of INPP5J associated with Alzheimer's disease
Tetsuaki Kimura, Akiko Yamakawa, Risa Mitsumori, et al.
IEEE Transactions on Bio-Medical Engineering
|
April 6, 2016
Hierarchical Maximum Likelihood Clustering Approach
Alok Sharma, Keith A Boroevich, Daichi Shigemizu, et al.
BMC Bioinformatics
|
February 6, 2019
GlyStruct: glycation prediction using structural properties of amino acid residues
Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, et al.
Plos Computational Biology
|
February 21, 2012
Using functional signatures to identify repositioned drugs for breast, myelogenous leukemia and prostate cancer
Daichi Shigemizu, Zhenjun Hu, Jui-Hung Hung, et al.
Scientific Reports
|
October 23, 2021
Dementia subtype prediction models constructed by penalized regression methods for multiclass classification using serum microRNA expression data
Yuya Asanomi, Daichi Shigemizu, Shintaro Akiyama, et al.
Nucleic Acids Research
|
May 4, 2010
PathPred: an enzyme-catalyzed metabolic pathway prediction server
Yuki Moriya, Daichi Shigemizu, Masahiro Hattori, et al.
BMC Bioinformatics
|
August 25, 2016
Stepwise iterative maximum likelihood clustering approach
Alok Sharma, Daichi Shigemizu, Keith A Boroevich, et al.
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of 7
Search research articles
Search
Showing results (11-20 of 69) with videos related to
Sort By:
Page
of 7
Scientific Reports
|
March 14, 2025
Author Correction: Alzheimer's disease may develop from changes in the immune system, cell cycle, and protein processing following alterations in ribosome function
Akiko Yamakawa, Mutsumi Suganuma, Risa Mitsumori, et al.
Journal of Human Genetics
|
February 13, 2024
CRISPR/Cas9-mediated knock-in cells of the late-onset Alzheimer's disease-risk variant, SHARPIN G186R, reveal reduced NF-κB pathway and accelerated Aβ secretion
Yuya Asanomi, Tetsuaki Kimura, Nobuyoshi Shimoda, et al.
Molecular Psychiatry
|
March 10, 2022
Whole-genome sequencing reveals novel ethnicity-specific rare variants associated with Alzheimer's disease
Daichi Shigemizu, Yuya Asanomi, Shintaro Akiyama, et al.
Translational Psychiatry
|
April 8, 2026
Whole-genome sequencing reveals an East Asian-specific rare variant of INPP5J associated with Alzheimer's disease
Tetsuaki Kimura, Akiko Yamakawa, Risa Mitsumori, et al.
IEEE Transactions on Bio-Medical Engineering
|
April 6, 2016
Hierarchical Maximum Likelihood Clustering Approach
Alok Sharma, Keith A Boroevich, Daichi Shigemizu, et al.
BMC Bioinformatics
|
February 6, 2019
GlyStruct: glycation prediction using structural properties of amino acid residues
Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, et al.
Plos Computational Biology
|
February 21, 2012
Using functional signatures to identify repositioned drugs for breast, myelogenous leukemia and prostate cancer
Daichi Shigemizu, Zhenjun Hu, Jui-Hung Hung, et al.
Scientific Reports
|
October 23, 2021
Dementia subtype prediction models constructed by penalized regression methods for multiclass classification using serum microRNA expression data
Yuya Asanomi, Daichi Shigemizu, Shintaro Akiyama, et al.
Nucleic Acids Research
|
May 4, 2010
PathPred: an enzyme-catalyzed metabolic pathway prediction server
Yuki Moriya, Daichi Shigemizu, Masahiro Hattori, et al.
BMC Bioinformatics
|
August 25, 2016
Stepwise iterative maximum likelihood clustering approach
Alok Sharma, Daichi Shigemizu, Keith A Boroevich, et al.
Page
of 7