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Xiaoxin Du

Showing results (1-10 of 21) with videos related to

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Brain & Development|October 18, 2011
Do the eyes have it? Extraction of identity and positive expression from another's eyes in autism, probed using "Bubbles"Yongning Song, Takahiro Kawabe, Yuji Hakoda, et al.
Frontiers in Oncology|January 28, 2026
The molecular classification ushers in a new era for the treatment of advanced and recurrent endometrial cancerLiwei Yan, Xiaoxu Ding, Yuanmei Deng, et al.
Journal of Community Psychology|August 3, 2019
The mediating effect of perceived social support on the relationship between mindfulness and burnout in special education teachersJin Sun, Xian Wang, Yongli Wang, et al.
Scientific Reports|October 11, 2022
JSCSNCP-LMA: a method for predicting the association of lncRNA-miRNABo Wang, Xinwei Wang, Xiaodong Zheng, et al.
Scientific Reports|July 26, 2022
lncRNA-disease association prediction based on matrix decomposition of elastic network and collaborative filteringBo Wang, RunJie Liu, XiaoDong Zheng, et al.
Indian Pediatrics|May 14, 2013
Lactobacillus rhamnosus GG supplementation for preventing respiratory infections in children: a meta-analysis of randomized, placebo-controlled trialsShan Liu, PengWei Hu, Xiaoxin Du, et al.
Frontiers in Microbiology|June 17, 2024
Prediction of microbe-drug associations based on a modified graph attention variational autoencoder and random forestBo Wang, Fangjian Ma, Xiaoxin Du, et al.
Interdisciplinary Sciences, Computational Life Sciences|July 30, 2025
HAFMMDA: HIN2vec-Based Attentional Factorization Machines for Predicting Microbe-Drug AssociationsBo Wang, Junqi Wang, Xiaoxin Du, et al.
Artificial Intelligence in Medicine|June 20, 2025
VAE-GANMDA: A microbe-drug association prediction model integrating variational autoencoders and generative adversarial networksBo Wang, Yang He, Xiaoxin Du, et al.
Interdisciplinary Sciences, Computational Life Sciences|January 8, 2025
NRGCNMDA: Microbe-Drug Association Prediction Based on Residual Graph Convolutional Networks and Conditional Random FieldsXiaoxin Du, Jingwei Li, Bo Wang, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Brain & Development|October 18, 2011
Do the eyes have it? Extraction of identity and positive expression from another's eyes in autism, probed using "Bubbles"Yongning Song, Takahiro Kawabe, Yuji Hakoda, et al.
Frontiers in Oncology|January 28, 2026
The molecular classification ushers in a new era for the treatment of advanced and recurrent endometrial cancerLiwei Yan, Xiaoxu Ding, Yuanmei Deng, et al.
Journal of Community Psychology|August 3, 2019
The mediating effect of perceived social support on the relationship between mindfulness and burnout in special education teachersJin Sun, Xian Wang, Yongli Wang, et al.
Scientific Reports|October 11, 2022
JSCSNCP-LMA: a method for predicting the association of lncRNA-miRNABo Wang, Xinwei Wang, Xiaodong Zheng, et al.
Scientific Reports|July 26, 2022
lncRNA-disease association prediction based on matrix decomposition of elastic network and collaborative filteringBo Wang, RunJie Liu, XiaoDong Zheng, et al.
Indian Pediatrics|May 14, 2013
Lactobacillus rhamnosus GG supplementation for preventing respiratory infections in children: a meta-analysis of randomized, placebo-controlled trialsShan Liu, PengWei Hu, Xiaoxin Du, et al.
Frontiers in Microbiology|June 17, 2024
Prediction of microbe-drug associations based on a modified graph attention variational autoencoder and random forestBo Wang, Fangjian Ma, Xiaoxin Du, et al.
Interdisciplinary Sciences, Computational Life Sciences|July 30, 2025
HAFMMDA: HIN2vec-Based Attentional Factorization Machines for Predicting Microbe-Drug AssociationsBo Wang, Junqi Wang, Xiaoxin Du, et al.
Artificial Intelligence in Medicine|June 20, 2025
VAE-GANMDA: A microbe-drug association prediction model integrating variational autoencoders and generative adversarial networksBo Wang, Yang He, Xiaoxin Du, et al.
Interdisciplinary Sciences, Computational Life Sciences|January 8, 2025
NRGCNMDA: Microbe-Drug Association Prediction Based on Residual Graph Convolutional Networks and Conditional Random FieldsXiaoxin Du, Jingwei Li, Bo Wang, et al.
Pageof 3