Search Results

SCATrans: semantic cross-attention transformer for drug–drug interaction predication through multimodal biomedical data

• Authors : Shanwen Zhang; Changqing Yu; Chuanlei Zhang

Subjects: Drug-drug interaction (DDI); DDI predication (DDIP); Multimodal feature fusion (MMFF)

• Source: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-20 (2025)

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Instance-level semantic segmentation of nuclei based on multimodal structure encoding

• Authors : Bo Guan; Guangdi Chu; Ziying Wang

Subjects: Cell nucleus segmentation; Histopathological image; Graph neural networks

• Source: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-25 (2025)

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GCMM: graph convolution network based on multimodal attention mechanism for drug repurposing.

• Authors : Zhang, Fan¹ (AUTHOR); Hu, Wei¹ (AUTHOR); Liu, Yirong¹ (AUTHOR)

• Source: BMC Bioinformatics. 9/13/2022, Vol. 23 Issue 1, p1-17. 17p.

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GPDRP: a multimodal framework for drug response prediction with graph transformer

• Authors : Yingke Yang; Peiluan Li

Subjects: Drug response prediction (DRP); Multimodal deep learning model; Graph transformer

• Source: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-16 (2023)

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MCL-DTI: using drug multimodal information and bi-directional cross-attention learning method for predicting drug–target interaction

• Authors : Ying Qian; Xinyi Li; Jian Wu

Subjects: Drug–target interaction; Deep learning; Multimodal information

• Source: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)

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CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction

• Authors : Zihao Yang; Kuiyuan Tong; Shiyu Jin

Subjects: Drug‒drug interaction; Deep learning; Siamese network

• Source: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-12 (2023)

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A multimodal deep learning model to infer cell-type-specific functional gene networks

• Authors : Shiva Afshar; Patricia R. Braun; Shizhong Han

Subjects: Cell-type-specific functional gene networks; Multimodal deep learning; Single-nuclei gene expression

• Source: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-12 (2023)

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Single-cell spatial explorer: easy exploration of spatial and multimodal transcriptomics

• Authors : Frédéric Pont; Juan Pablo Cerapio; Pauline Gravelle

Subjects: Spatial transcriptomics; Single-cell; Multimodal analysis

• Source: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-12 (2023)

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DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms.

• Authors : Shaw, Dipan¹ (AUTHOR) ; Chen, Hao¹ (AUTHOR); Xie, Minzhu² (AUTHOR)

• Source: BMC Bioinformatics. 1/18/2021, Vol. 22 Issue 1, p1-22. 22p.

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InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation.

• Authors : Wang, Lifei¹ (AUTHOR) ; Nie, Rui^2,3,4 (AUTHOR); Miao, Xuexia^2,3 (AUTHOR)

• Source: BMC Bioinformatics. 1/24/2024, Vol. 25 Issue 1, p1-17. 17p.

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