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Biology Direct
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May 28, 2025
scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling
Shuo Wang, Yuanning Liu, Hao Zhang, et al.
BMC Genomics
|
September 27, 2018
SiRNA silencing efficacy prediction based on a deep architecture
Ye Han, Fei He, Yongbing Chen, et al.
BMC Bioinformatics
|
September 20, 2023
HAHNet: a convolutional neural network for HER2 status classification of breast cancer
Jiahao Wang, Xiaodong Zhu, Kai Chen, et al.
BMC Bioinformatics
|
August 23, 2022
LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction
Yinchao Fei, Hao Zhang, Yili Wang, et al.
Bioinformatics (Oxford, England)
|
May 22, 2014
CLImAT: accurate detection of copy number alteration and loss of heterozygosity in impure and aneuploid tumor samples using whole-genome sequencing data
Zhenhua Yu, Yuanning Liu, Yi Shen, et al.
BMC Bioinformatics
|
April 1, 2021
A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network
Linyu Wang, Xiaodan Zhong, Shuo Wang, et al.
Frontiers in Genetics
|
December 18, 2018
Identification of Potential Prognostic Genes for Neuroblastoma
Xiaodan Zhong, Yuanning Liu, Haiming Liu, et al.
Entropy (Basel, Switzerland)
|
September 23, 2022
Supervised Contrastive Learning and Intra-Dataset Adversarial Adaptation for Iris Segmentation
Zhiyong Zhou, Yuanning Liu, Xiaodong Zhu, et al.
Frontiers in Genetics
|
March 8, 2021
Research on the Mechanism of Soybean Resistance to <i>Phytophthora</i> Infection Using Machine Learning Methods
Junxia Chi, Shizeng Song, Hao Zhang, et al.
Peerj
|
December 18, 2019
Cellular components in tumor microenvironment of neuroblastoma and the prognostic value
Xiaodan Zhong, Yutong Zhang, Linyu Wang, et al.
Page
of 6
Search research articles
Search
Showing results (11-20 of 59) with videos related to
Sort By:
Page
of 6
Biology Direct
|
May 28, 2025
scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling
Shuo Wang, Yuanning Liu, Hao Zhang, et al.
BMC Genomics
|
September 27, 2018
SiRNA silencing efficacy prediction based on a deep architecture
Ye Han, Fei He, Yongbing Chen, et al.
BMC Bioinformatics
|
September 20, 2023
HAHNet: a convolutional neural network for HER2 status classification of breast cancer
Jiahao Wang, Xiaodong Zhu, Kai Chen, et al.
BMC Bioinformatics
|
August 23, 2022
LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction
Yinchao Fei, Hao Zhang, Yili Wang, et al.
Bioinformatics (Oxford, England)
|
May 22, 2014
CLImAT: accurate detection of copy number alteration and loss of heterozygosity in impure and aneuploid tumor samples using whole-genome sequencing data
Zhenhua Yu, Yuanning Liu, Yi Shen, et al.
BMC Bioinformatics
|
April 1, 2021
A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network
Linyu Wang, Xiaodan Zhong, Shuo Wang, et al.
Frontiers in Genetics
|
December 18, 2018
Identification of Potential Prognostic Genes for Neuroblastoma
Xiaodan Zhong, Yuanning Liu, Haiming Liu, et al.
Entropy (Basel, Switzerland)
|
September 23, 2022
Supervised Contrastive Learning and Intra-Dataset Adversarial Adaptation for Iris Segmentation
Zhiyong Zhou, Yuanning Liu, Xiaodong Zhu, et al.
Frontiers in Genetics
|
March 8, 2021
Research on the Mechanism of Soybean Resistance to <i>Phytophthora</i> Infection Using Machine Learning Methods
Junxia Chi, Shizeng Song, Hao Zhang, et al.
Peerj
|
December 18, 2019
Cellular components in tumor microenvironment of neuroblastoma and the prognostic value
Xiaodan Zhong, Yutong Zhang, Linyu Wang, et al.
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of 6