Kwangsik Nho
Taeho Jo 0002
Kwangsik Nho
Paula Bice
Andrew J. Saykin
Deep learning-based identification of genetic variants: application to Alzheimer's disease classification.
2022
23
Briefings Bioinform.
2
https://doi.org/10.1093/bib/bbac022
db/journals/bib/bib23.html#JoNBS22
Linhui Xie
Bing He
Pradeep Varathan
Kwangsik Nho
Shannon L. Risacher
Andrew J. Saykin
Paul Salama
Jingwen Yan
Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease.
2021
22
Briefings Bioinform.
6
https://doi.org/10.1093/bib/bbab121
db/journals/bib/bib22.html#XieHVNRSSY21
Raphael Ronge
Kwangsik Nho
Christian Wachinger
Sebastian Pölsterl
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models.
624-633
2021
MLMI@MICCAI
https://doi.org/10.1007/978-3-030-87589-3_64
conf/miccai/2021mlmi
db/conf/miccai/mlmi2021.html#RongeNWP21
Raphael Ronge
Kwangsik Nho
Christian Wachinger
Sebastian Pölsterl
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models.
2021
abs/2108.05916
CoRR
https://arxiv.org/abs/2108.05916
db/journals/corr/corr2108.html#abs-2108-05916
Taeho Jo 0002
Kwangsik Nho
Shannon L. Risacher
Andrew J. Saykin
Deep learning detection of informative features in tau PET for Alzheimer's disease classification.
496
2020
21-S
BMC Bioinform.
21
https://doi.org/10.1186/s12859-020-03848-0
https://www.wikidata.org/entity/Q104609458
db/journals/bmcbi/bmcbi21S.html#JoNRS20
Jingwen Yan
V. Vinesh Raja
Zhi Huang
Enrico Amico
Kwangsik Nho
Shiaofen Fang
Olaf Sporns
Yu-Chien Wu
Andrew J. Saykin
Joaquín Goñi
Li Shen 0001
Brain-wide structural connectivity alterations under the control of Alzheimer risk genes.
58-70
2020
13
Int. J. Comput. Biol. Drug Des.
1
https://doi.org/10.1504/IJCBDD.2020.105098
db/journals/ijcbdd/ijcbdd13.html#YanRHANFSWSGS20
Yurika Upadhyaya
Linhui Xie
Paul Salama
Kwangsik Nho
Andrew J. Saykin
Jingwen Yan
Disruption of gene co-expression network along the progression of Alzheimer's disease.
1-4
2019
BHI
https://doi.org/10.1109/BHI.2019.8834551
conf/bhi/2019
db/conf/bhi/bhi2019.html#UpadhyayaXSNSY19
Taeho Jo 0002
Kwangsik Nho
Andrew J. Saykin
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data.
2019
abs/1905.00931
CoRR
http://arxiv.org/abs/1905.00931
db/journals/corr/corr1905.html#abs-1905-00931
Xiaoqian Wang 0001
Hong Chen
Jingwen Yan
Kwangsik Nho
Shannon L. Risacher
Andrew J. Saykin
Li Shen 0001
Heng Huang
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.
i866-i874
2018
34
Bioinform.
17
https://doi.org/10.1093/bioinformatics/bty557
https://www.wikidata.org/entity/Q93035639
db/journals/bioinformatics/bioinformatics34.html#WangCYNRS0H18
Xiaoqian Wang 0001
Jingwen Yan
Xiaohui Yao
Sungeun Kim
Kwangsik Nho
Shannon L. Risacher
Andrew J. Saykin
Li Shen 0001
Heng Huang
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
809-824
2018
25
J. Comput. Biol.
7
https://doi.org/10.1089/cmb.2018.0008
https://www.wikidata.org/entity/Q90241442
db/journals/jcb/jcb25.html#WangYYKNRS0H18
Jason E. Miller
Manu K. Shivakumar
Shannon L. Risacher
Andrew J. Saykin
SeungGeun Lee
Kwangsik Nho
Dokyoon Kim
Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker.
365-376
2018
PSB
http://psb.stanford.edu/psb-online/proceedings/psb18/miller.pdf
conf/psb/2018
db/conf/psb/psb2018.html#MillerSRSLNK18
Xiaohui Yao
Jingwen Yan
Kefei Liu 0001
Sungeun Kim
Kwangsik Nho
Shannon L. Risacher
Casey S. Greene
Jason H. Moore
Andrew J. Saykin
Li Shen 0001
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
3250-3257
2017
33
Bioinform.
20
https://doi.org/10.1093/bioinformatics/btx344
https://www.wikidata.org/entity/Q38748535
db/journals/bioinformatics/bioinformatics33.html#YaoYLKNRGMSSI17
Xiaohui Yao
Jingwen Yan
Sungeun Kim
Kwangsik Nho
Shannon L. Risacher
Mark Inlow
Jason H. Moore
Andrew J. Saykin
Li Shen 0001
Two-dimensional enrichment analysis for mining high-level imaging genetic associations.
27-37
2017
4
Brain Informatics
1
https://doi.org/10.1007/s40708-016-0052-4
https://www.wikidata.org/entity/Q37427196
db/journals/braininf/braininf4.html#YaoYKNRIMSS17
Dokyoon Kim
Anna Okula Basile
Lisa Bang
Emrin Horgusluoglu
SeungGeun Lee
Marylyn D. Ritchie
Andrew J. Saykin
Kwangsik Nho
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease.
61:1-61:7
2017
17
BMC Medical Informatics Decis. Mak.
S-1
https://doi.org/10.1186/s12911-017-0454-0
https://www.wikidata.org/entity/Q33726449
db/journals/midm/midm17S.html#KimBBHLRSN17
Kefei Liu 0001
Xiaohui Yao
Jingwen Yan
Danai Chasioti
Shannon L. Risacher
Kwangsik Nho
Andrew J. Saykin
Li Shen 0001
Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm.
220-229
2017
GRAIL/MFCA/MICGen@MICCAI
https://doi.org/10.1007/978-3-319-67675-3_20
https://www.wikidata.org/entity/Q56989420
conf/miccai/2017grail
db/conf/miccai/grail2017.html#LiuYYCRNSS17
Jingwen Yan
Shannon L. Risacher
Kwangsik Nho
Andrew J. Saykin
Li Shen 0001
Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>.
94-104
2017
PSB
http://psb.stanford.edu/psb-online/proceedings/psb17/yan.pdf
conf/psb/2017
db/conf/psb/psb2017.html#YanRNSS17
Xiaoqian Wang 0001
Jingwen Yan
Xiaohui Yao
Sungeun Kim
Kwangsik Nho
Shannon L. Risacher
Andrew J. Saykin
Li Shen 0001
Heng Huang
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
287-302
2017
RECOMB
https://doi.org/10.1007/978-3-319-56970-3_18
https://www.wikidata.org/entity/Q56989403
conf/recomb/2017
db/conf/recomb/recomb2017.html#WangYYKNRSSH17
Xiaohui Yao
Jingwen Yan
Sungeun Kim
Kwangsik Nho
Shannon L. Risacher
Mark Inlow
Jason H. Moore
Andrew J. Saykin
Li Shen 0001
Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations.
115-124
2015
BIH
https://doi.org/10.1007/978-3-319-23344-4_12
https://www.wikidata.org/entity/Q56989503
conf/brain/2015
db/conf/brain/brain2015.html#YaoYKNRIMSS15
Sungeun Kim
Kwangsik Nho
Shannon L. Risacher
Mark Inlow
Shanker Swaminathan
Karmen K. Yoder
Li Shen 0001
John D. West
Brenna C. McDonald
Eileen F. Tallman
Gary D. Hutchins
James W. Fletcher
Martin R. Farlow
Bernardino Ghetti
Andrew J. Saykin
PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease.
150-158
2013
MBIA
https://doi.org/10.1007/978-3-319-02126-3_15
https://www.wikidata.org/entity/Q56989585
conf/miccai/2013mbia
db/conf/miccai/mbia2013.html#KimNRISYSWMTHFFGS13
Dokyoon Kim
Sungeun Kim
Shannon L. Risacher
Li Shen 0001
Marylyn D. Ritchie
Michael W. Weiner
Andrew J. Saykin
Kwangsik Nho
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).
159-169
2013
MBIA
https://doi.org/10.1007/978-3-319-02126-3_16
https://www.wikidata.org/entity/Q56989534
conf/miccai/2013mbia
db/conf/miccai/mbia2013.html#KimKRSRWSN13
Hua Wang 0007
Feiping Nie 0001
Heng Huang
Sungeun Kim
Kwangsik Nho
Shannon L. Risacher
Andrew J. Saykin
Li Shen 0001
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
229-237
2012
28
Bioinform.
2
https://doi.org/10.1093/bioinformatics/btr649
https://www.wikidata.org/entity/Q35675849
db/journals/bioinformatics/bioinformatics28.html#WangNHKNRSS12
Hua Wang 0007
Feiping Nie 0001
Heng Huang
Jingwen Yan
Sungeun Kim
Kwangsik Nho
Shannon L. Risacher
Andrew J. Saykin
Li Shen 0001
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
619-625
2012
28
Bioinform.
18
https://doi.org/10.1093/bioinformatics/bts411
https://www.wikidata.org/entity/Q36218099
db/journals/bioinformatics/bioinformatics28.html#WangNHYKNRSS12
Li Shen 0001
Sungeun Kim
Yuan (Alan) Qi
Mark Inlow
Shanker Swaminathan
Kwangsik Nho
Jing Wan
Shannon L. Risacher
Leslie M. Shaw
John Q. Trojanowski
Michael W. Weiner
Andrew J. Saykin
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net.
27-34
2011
MBIA
https://doi.org/10.1007/978-3-642-24446-9_4
https://www.wikidata.org/entity/Q56989667
conf/miccai/2011mbia
db/conf/miccai/mbia2011.html#ShenKQISNWRSTWS11
Jing Wan
Sungeun Kim
Mark Inlow
Kwangsik Nho
Shanker Swaminathan
Shannon L. Risacher
Shiaofen Fang
Michael W. Weiner
Mirza Faisal Beg
Lei Wang 0032
Andrew J. Saykin
Li Shen 0001
Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models.
376-383
2011
MICCAI (2)
https://doi.org/10.1007/978-3-642-23629-7_46
https://www.wikidata.org/entity/Q56989657
conf/miccai/2011-2
db/conf/miccai/miccai2011-2.html#WanKINSRFWBWSS11
Li Shen 0001
Sungeun Kim
Shannon L. Risacher
Kwangsik Nho
Shanker Swaminathan
John D. West
Tatiana Foroud
Nathan Pankratz
Jason H. Moore
Chantel D. Sloan
Matthew J. Huentelman
David W. Craig
Bryan M. DeChairo
Steven G. Potkin
Clifford R. Jack Jr.
Michael W. Weiner
Andrew J. Saykin
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort.
1051-1063
2010
53
NeuroImage
3
https://doi.org/10.1016/j.neuroimage.2010.01.042
https://www.wikidata.org/entity/Q33941050
db/journals/neuroimage/neuroimage53.html#ShenKRNSWFPMSHCDPJWS10
Li Shen 0001
Yuan (Alan) Qi
Sungeun Kim
Kwangsik Nho
Jing Wan
Shannon L. Risacher
Andrew J. Saykin
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction.
611-618
2010
MICCAI (3)
https://doi.org/10.1007/978-3-642-15711-0_76
https://www.wikidata.org/entity/Q56989706
conf/miccai/2010-3
db/conf/miccai/miccai2010-3.html#ShenQKNWRSA10
Enrico Amico
Lisa Bang
Anna Okula Basile
Mirza Faisal Beg
Paula Bice
Danai Chasioti
Hong Chen
David W. Craig
Bryan M. DeChairo
Shiaofen Fang
Martin R. Farlow
James W. Fletcher
Tatiana Foroud
Bernardino Ghetti
Joaquín Goñi
Casey S. Greene
Bing He
Emrin Horgusluoglu
Heng Huang
Zhi Huang
Matthew J. Huentelman
Gary D. Hutchins
Mark Inlow
Clifford R. Jack Jr.
Taeho Jo 0002
Do Kyoon KimDokyoon Kim
Sungeun Kim
SeungGeun Lee
Kefei Liu 0001
Brenna C. McDonald
Jason E. Miller
Jason H. Moore
Feiping Nie 0001
Nathan Pankratz
Sebastian Pölsterl
Steven G. Potkin
Yuan Qi 0001Yuan (Alan) Qi
V. Vinesh Raja
Shannon L. Risacher
Marylyn D. Ritchie
Raphael Ronge
Paul Salama
Andrew J. Saykin
Leslie M. Shaw
Li Shen 0001
Manu K. Shivakumar
Chantel D. Sloan
Olaf Sporns
Shanker Swaminathan
Eileen F. Tallman
John Q. Trojanowski
Yurika Upadhyaya
Pradeep Varathan
Christian Wachinger
Jing Wan
Hua Wang 0007
Lei Wang 0032
Xiaoqian Wang 0001
Michael WeinerMichael W. Weiner
John D. West
Yu-Chien Wu
Linhui Xie
Jingwen Yan
Xiaohui Yao
Karmen K. Yoder