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Yikai Wang

Showing results (1-10 of 138) with videos related to

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The Annals of Applied Statistics|July 23, 2024
LOCUS: A REGULARIZED BLIND SOURCE SEPARATION METHOD WITH LOW-RANK STRUCTURE FOR INVESTIGATING BRAIN CONNECTIVITYYikai Wang, Ying Guo
Neuroimage|January 15, 2019
A hierarchical independent component analysis model for longitudinal neuroimaging studiesYikai Wang, Ying Guo
BMC Medical Genomics|March 11, 2025
ARMC5 mutations in primary bilateral macronodular adrenal hyperplasia: a family case reportYikai Wang, Weibing Shuang
Journal of Genetics and Genomics = Yi Chuan Xue Bao|June 24, 2017
Differential gene network analysis from single cell RNA-seqYikai Wang, Hao Wu, Tianwei Yu
Frontiers in Public Health|November 6, 2025
Temporal trends in the incidence and mortality of kidney cancer across BRICS from 1990 to 2021: an age-period-cohort analysisYikai Wang, Zhengkun Wang, Weibing Shuang
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 1, 2023
Knockoffs-SPR: Clean Sample Selection in Learning With Noisy LabelsYikai Wang, Yanwei Fu, Xinwei Sun
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Unveiling hidden sources of dynamic functional connectome through a novel regularized blind source separation approachJialu Ran, Yikai Wang, Ying Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 3, 2021
How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot LearningYikai Wang, Li Zhang, Yuan Yao, et al.
Scientific Reports|December 22, 2019
A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer's Disease DataSuprateek Kundu, Joshua Lukemire, Yikai Wang, et al.
Scientific Reports|November 19, 2025
Explore the key genes and prognosis related to mitochondrial permeability transition driving necrosis gene in kidney renal clear cell carcinomaYikai Wang, Dingyang Lv, Wei Zhang, et al.
Pageof 14

Showing results (1-10 of 138) with videos related to

Sort By:
Pageof 14
The Annals of Applied Statistics|July 23, 2024
LOCUS: A REGULARIZED BLIND SOURCE SEPARATION METHOD WITH LOW-RANK STRUCTURE FOR INVESTIGATING BRAIN CONNECTIVITYYikai Wang, Ying Guo
Neuroimage|January 15, 2019
A hierarchical independent component analysis model for longitudinal neuroimaging studiesYikai Wang, Ying Guo
BMC Medical Genomics|March 11, 2025
ARMC5 mutations in primary bilateral macronodular adrenal hyperplasia: a family case reportYikai Wang, Weibing Shuang
Journal of Genetics and Genomics = Yi Chuan Xue Bao|June 24, 2017
Differential gene network analysis from single cell RNA-seqYikai Wang, Hao Wu, Tianwei Yu
Frontiers in Public Health|November 6, 2025
Temporal trends in the incidence and mortality of kidney cancer across BRICS from 1990 to 2021: an age-period-cohort analysisYikai Wang, Zhengkun Wang, Weibing Shuang
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 1, 2023
Knockoffs-SPR: Clean Sample Selection in Learning With Noisy LabelsYikai Wang, Yanwei Fu, Xinwei Sun
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Unveiling hidden sources of dynamic functional connectome through a novel regularized blind source separation approachJialu Ran, Yikai Wang, Ying Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 3, 2021
How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot LearningYikai Wang, Li Zhang, Yuan Yao, et al.
Scientific Reports|December 22, 2019
A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer's Disease DataSuprateek Kundu, Joshua Lukemire, Yikai Wang, et al.
Scientific Reports|November 19, 2025
Explore the key genes and prognosis related to mitochondrial permeability transition driving necrosis gene in kidney renal clear cell carcinomaYikai Wang, Dingyang Lv, Wei Zhang, et al.
Pageof 14