Boosting drug-disease association prediction for drug repositioning via dual-feature extraction and cross-dual-domain decoding
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Enqiang, Li, Xiang, Liu, Chanjuan, Pal, Nikhil R. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeepDR: an integrated deep-learning model web server for drug repositioning
by: Jin, Shuting, et al.
Published: (2025)
by: Jin, Shuting, et al.
Published: (2025)
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis
by: Partin, Alexander, et al.
Published: (2025)
by: Partin, Alexander, et al.
Published: (2025)
MD-Syn: Synergistic drug combination prediction based on the multidimensional feature fusion method and attention mechanisms
by: Ge, XinXin, et al.
Published: (2025)
by: Ge, XinXin, et al.
Published: (2025)
Training distribution determines the ceiling of drug-blind cancer sensitivity prediction
by: Heo, Taekyung
Published: (2026)
by: Heo, Taekyung
Published: (2026)
Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
by: Adrian, Matthew, et al.
Published: (2025)
by: Adrian, Matthew, et al.
Published: (2025)
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer
by: Rønneberg, Leiv, et al.
Published: (2024)
by: Rønneberg, Leiv, et al.
Published: (2024)
GBDTSVM: Combined Support Vector Machine and Gradient Boosting Decision Tree Framework for efficient snoRNA-disease association prediction
by: Muna, Ummay Maria, et al.
Published: (2025)
by: Muna, Ummay Maria, et al.
Published: (2025)
GramSeq-DTA: A grammar-based drug-target affinity prediction approach fusing gene expression information
by: Debnath, Kusal, et al.
Published: (2024)
by: Debnath, Kusal, et al.
Published: (2024)
ALNSynergy: a graph convolutional network with multi-representation alignment for drug synergy prediction
by: Yang, Xinxing, et al.
Published: (2023)
by: Yang, Xinxing, et al.
Published: (2023)
MKDTI: Predicting drug-target interactions via multiple kernel fusion on graph attention network
by: Zhou, Yuhuan, et al.
Published: (2024)
by: Zhou, Yuhuan, et al.
Published: (2024)
Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning
by: Dai, Wenfeng, et al.
Published: (2025)
by: Dai, Wenfeng, et al.
Published: (2025)
Causal inference in drug discovery and development
by: Michoel, Tom, et al.
Published: (2022)
by: Michoel, Tom, et al.
Published: (2022)
Multimodal AI predicts clinical outcomes of drug combinations from preclinical data
by: Huang, Yepeng, et al.
Published: (2025)
by: Huang, Yepeng, et al.
Published: (2025)
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer
by: Shubham, Kumar, et al.
Published: (2024)
by: Shubham, Kumar, et al.
Published: (2024)
ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning
by: Zeng, Wenwu, et al.
Published: (2023)
by: Zeng, Wenwu, et al.
Published: (2023)
DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation
by: Wu, Yushuai, et al.
Published: (2024)
by: Wu, Yushuai, et al.
Published: (2024)
Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples
by: Chintapalli, Sai Spandana, et al.
Published: (2024)
by: Chintapalli, Sai Spandana, et al.
Published: (2024)
Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases
by: Pagán, Josué, et al.
Published: (2024)
by: Pagán, Josué, et al.
Published: (2024)
LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network
by: Xi, Wen-Yu, et al.
Published: (2024)
by: Xi, Wen-Yu, et al.
Published: (2024)
Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery
by: Malusare, Aditya, et al.
Published: (2025)
by: Malusare, Aditya, et al.
Published: (2025)
Early warning prediction: Onsager-Machlup vs Schrödinger
by: Xu, Xiaoai, et al.
Published: (2026)
by: Xu, Xiaoai, et al.
Published: (2026)
Optimizing Convolutional Neural Networks for Identifying Invasive Pollinator Apis Mellifera and Finding a Ligand drug to Protect California's Biodiversity
by: Swaroop, Arnav
Published: (2024)
by: Swaroop, Arnav
Published: (2024)
RxRx3-core: Benchmarking drug-target interactions in High-Content Microscopy
by: Kraus, Oren, et al.
Published: (2025)
by: Kraus, Oren, et al.
Published: (2025)
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis
by: Zhang, Zeyu, et al.
Published: (2024)
by: Zhang, Zeyu, et al.
Published: (2024)
Assay2Mol: large language model-based drug design using BioAssay context
by: Deng, Yifan, et al.
Published: (2025)
by: Deng, Yifan, et al.
Published: (2025)
Precision psychiatry: predicting predictability
by: van Dellen, Edwin
Published: (2023)
by: van Dellen, Edwin
Published: (2023)
Importance inversion transfer identifies shared principles for cross-domain learning
by: Caligiore, Daniele
Published: (2026)
by: Caligiore, Daniele
Published: (2026)
New methods for drug synergy prediction: a mini-review
by: Abbasi, Fatemeh, et al.
Published: (2024)
by: Abbasi, Fatemeh, et al.
Published: (2024)
Machine learning-enhanced non-amnestic Alzheimer's disease diagnosis from MRI and clinical features
by: Witherow, Megan A., et al.
Published: (2026)
by: Witherow, Megan A., et al.
Published: (2026)
MMIL: A novel algorithm for disease associated cell type discovery
by: Craig, Erin, et al.
Published: (2024)
by: Craig, Erin, et al.
Published: (2024)
Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens
by: Shahid, Muhammad Usamah, et al.
Published: (2025)
by: Shahid, Muhammad Usamah, et al.
Published: (2025)
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
by: Chang, Joshua C., et al.
Published: (2020)
by: Chang, Joshua C., et al.
Published: (2020)
Machine learning approaches to explore important features behind bird flight modes
by: Kawai, Yukino, et al.
Published: (2024)
by: Kawai, Yukino, et al.
Published: (2024)
Medication Recommendation via Dual Molecular Modalities and Multi-Step Enhancement
by: Mu, Shi, et al.
Published: (2024)
by: Mu, Shi, et al.
Published: (2024)
Active learning for affinity prediction of antibodies
by: Gessner, Alexandra, et al.
Published: (2024)
by: Gessner, Alexandra, et al.
Published: (2024)
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
by: Hassan, Majdi, et al.
Published: (2024)
by: Hassan, Majdi, et al.
Published: (2024)
The limits of bio-molecular modeling with large language models : a cross-scale evaluation
by: Xu, Yaxin, et al.
Published: (2026)
by: Xu, Yaxin, et al.
Published: (2026)
Protenix-Mini+: efficient structure prediction model with scalable pairformer
by: Qiang, Bo, et al.
Published: (2025)
by: Qiang, Bo, et al.
Published: (2025)
MIEO: encoding clinical data to enhance cardiovascular event prediction
by: Borghini, Davide, et al.
Published: (2025)
by: Borghini, Davide, et al.
Published: (2025)
Improved prediction of ligand-protein binding affinities by meta-modeling
by: Lee, Ho-Joon, et al.
Published: (2023)
by: Lee, Ho-Joon, et al.
Published: (2023)
Similar Items
-
DeepDR: an integrated deep-learning model web server for drug repositioning
by: Jin, Shuting, et al.
Published: (2025) -
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis
by: Partin, Alexander, et al.
Published: (2025) -
MD-Syn: Synergistic drug combination prediction based on the multidimensional feature fusion method and attention mechanisms
by: Ge, XinXin, et al.
Published: (2025) -
Training distribution determines the ceiling of drug-blind cancer sensitivity prediction
by: Heo, Taekyung
Published: (2026) -
Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
by: Adrian, Matthew, et al.
Published: (2025)