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Faculty of Healt... [2]
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YUAN ZHEN [1]
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Journal article [3]
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2024 [1]
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2020 [1]
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英語English [3]
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Multi-contrast learning-guided lightweight few-shot learning scheme for predicting breast cancer molecular subtypes
Journal article
Pan, Xiang, Wang, Pei, Jia, Shunyuan, Wang, Yihang, Liu, Yuan, Zhang, Yan, Jiang, Chunjuan. Multi-contrast learning-guided lightweight few-shot learning scheme for predicting breast cancer molecular subtypes[J]. Medical and Biological Engineering and Computing, 2024, 62(5), 1601-1613.
Authors:
Pan, Xiang
;
Wang, Pei
;
Jia, Shunyuan
;
Wang, Yihang
;
Liu, Yuan
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
2.6
/
2.7
|
Submit date:2024/05/16
Breast Cancer
Few-shot Learning
One-vs-one
One-vs-rest
Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies
Journal article
Miao, Rui, Dang, Qi, Cai, Jie, Huang, Hai Hui, Xie, Sheng Li, Liang, Yong. Sparse principal component analysis based on genome network for correcting cell type heterogeneity in epigenome-wide association studies[J]. Medical and Biological Engineering and Computing, 2022, 60(9), 2601-2618.
Authors:
Miao, Rui
;
Dang, Qi
;
Cai, Jie
;
Huang, Hai Hui
;
Xie, Sheng Li
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
2.6
/
2.7
|
Submit date:2023/01/30
Ewas
Gene Network
Gn-refaewas
Sparse Pca
Classification of pure conduct disorder from healthy controls based on indices of brain networks during resting state
Journal article
Zhang,Jiang, Liu,Yuyan, Luo,Ruisen, Du,Zhengcong, Lu,Fengmei, Yuan,Zhen, Zhou,Jiansong, Li,Shasha. Classification of pure conduct disorder from healthy controls based on indices of brain networks during resting state[J]. Medical and Biological Engineering and Computing, 2020, 58(9), 2071-2082.
Authors:
Zhang,Jiang
;
Liu,Yuyan
;
Luo,Ruisen
;
Du,Zhengcong
;
Lu,Fengmei
; et al.
Favorite
|
TC[WOS]:
7
TC[Scopus]:
7
IF:
2.6
/
2.7
|
Submit date:2021/03/04
Classification Scheme
Conduct Disorder
Feature Selection
Functional Magnetic Resonance Imaging
Small-world Networks