Shranjeno v:
| Main Authors: | Davronova, Rifkat, Adilovab, Fatima |
|---|---|
| Format: | Preprint |
| Izdano: |
2020
|
| Teme: | |
| Online dostop: | https://arxiv.org/abs/2012.07640 |
| Oznake: |
Označite
Brez oznak, prvi označite!
|
Podobne knjige/članki
The Geometric Alignment Tax: Tokenization vs. Continuous Geometry in Scientific Foundation Models
od: Raju, Prashant C.
Izdano: (2026)
od: Raju, Prashant C.
Izdano: (2026)
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification
od: Vollenweider, Michael, et al.
Izdano: (2024)
od: Vollenweider, Michael, et al.
Izdano: (2024)
Approximating mutual information of high-dimensional variables using learned representations
od: Gowri, Gokul, et al.
Izdano: (2024)
od: Gowri, Gokul, et al.
Izdano: (2024)
A Graph Based Raman Spectral Processing Technique for Exosome Classification
od: Ngo, Vuong M., et al.
Izdano: (2025)
od: Ngo, Vuong M., et al.
Izdano: (2025)
Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design
od: Chadi, Mohamed-Amine, et al.
Izdano: (2023)
od: Chadi, Mohamed-Amine, et al.
Izdano: (2023)
Quantum Ensembling Methods for Healthcare and Life Science
od: Rhrissorrakrai, Kahn, et al.
Izdano: (2025)
od: Rhrissorrakrai, Kahn, et al.
Izdano: (2025)
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
od: Zheng, Kangyu, et al.
Izdano: (2024)
od: Zheng, Kangyu, et al.
Izdano: (2024)
DrugAgent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction
od: Inoue, Yoshitaka, et al.
Izdano: (2024)
od: Inoue, Yoshitaka, et al.
Izdano: (2024)
Persistent Sheaf Laplacian Analysis of Protein Stability and Solubility Changes upon Mutation
od: Ren, Yiming, et al.
Izdano: (2026)
od: Ren, Yiming, et al.
Izdano: (2026)
SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data
od: Tao, Liang, et al.
Izdano: (2024)
od: Tao, Liang, et al.
Izdano: (2024)
ALNSynergy: a graph convolutional network with multi-representation alignment for drug synergy prediction
od: Yang, Xinxing, et al.
Izdano: (2023)
od: Yang, Xinxing, et al.
Izdano: (2023)
MS2MetGAN: Latent-space adversarial training for metabolite-spectrum matching in MS/MS database search
od: Tsai, Meng, et al.
Izdano: (2026)
od: Tsai, Meng, et al.
Izdano: (2026)
Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data
od: Kaur, Arshmeet, et al.
Izdano: (2024)
od: Kaur, Arshmeet, et al.
Izdano: (2024)
A Morse Transform for Drug Discovery
od: Tanaka, Alexander M., et al.
Izdano: (2025)
od: Tanaka, Alexander M., et al.
Izdano: (2025)
Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
od: Lee, Franklin, et al.
Izdano: (2025)
od: Lee, Franklin, et al.
Izdano: (2025)
Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs
od: Haredasht, Fateme Nateghi, et al.
Izdano: (2025)
od: Haredasht, Fateme Nateghi, et al.
Izdano: (2025)
MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network
od: Fan, Kunyi, et al.
Izdano: (2026)
od: Fan, Kunyi, et al.
Izdano: (2026)
Recent Developments in GNNs for Drug Discovery
od: Fang, Zhengyu, et al.
Izdano: (2025)
od: Fang, Zhengyu, et al.
Izdano: (2025)
Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network
od: Ho, John, et al.
Izdano: (2023)
od: Ho, John, et al.
Izdano: (2023)
A measurement noise scaling law for cellular representation learning
od: Gowri, Gokul, et al.
Izdano: (2025)
od: Gowri, Gokul, et al.
Izdano: (2025)
A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction
od: Song, Yuehua, et al.
Izdano: (2025)
od: Song, Yuehua, et al.
Izdano: (2025)
scPPDM: A Diffusion Model for Single-Cell Drug-Response Prediction
od: Liang, Zhaokang, et al.
Izdano: (2025)
od: Liang, Zhaokang, et al.
Izdano: (2025)
EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization
od: Sun, Yuancheng, et al.
Izdano: (2025)
od: Sun, Yuancheng, et al.
Izdano: (2025)
Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
od: Ünlü, Atabey, et al.
Izdano: (2023)
od: Ünlü, Atabey, et al.
Izdano: (2023)
Drug Interaction Vectors Neural Network: DrIVeNN
od: Wang, Natalie, et al.
Izdano: (2023)
od: Wang, Natalie, et al.
Izdano: (2023)
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks
od: Fei, Zhe, et al.
Izdano: (2024)
od: Fei, Zhe, et al.
Izdano: (2024)
Unbiased and Error-Detecting Combinatorial Pooling Experiments with Balanced Constant-Weight Gray Codes for Consecutive Positives Detection
od: He, Guanchen, et al.
Izdano: (2025)
od: He, Guanchen, et al.
Izdano: (2025)
Accelerating Drug Safety Assessment using Bidirectional-LSTM for SMILES Data
od: Rao, K. Venkateswara, et al.
Izdano: (2024)
od: Rao, K. Venkateswara, et al.
Izdano: (2024)
Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
od: Beaudoin, Collin, et al.
Izdano: (2023)
od: Beaudoin, Collin, et al.
Izdano: (2023)
CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics
od: Daryakenari, Nazanin Ahmadi, et al.
Izdano: (2024)
od: Daryakenari, Nazanin Ahmadi, et al.
Izdano: (2024)
Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery
od: Cropsal, Télio, et al.
Izdano: (2025)
od: Cropsal, Télio, et al.
Izdano: (2025)
Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
od: Delzer, Luke, et al.
Izdano: (2025)
od: Delzer, Luke, et al.
Izdano: (2025)
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
od: Xu, Bohao, et al.
Izdano: (2024)
od: Xu, Bohao, et al.
Izdano: (2024)
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information
od: Jayagopal, Aishwarya, et al.
Izdano: (2024)
od: Jayagopal, Aishwarya, et al.
Izdano: (2024)
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification
od: Su, Yujia, et al.
Izdano: (2025)
od: Su, Yujia, et al.
Izdano: (2025)
Boltzmann Graph Ensemble Embeddings for Aptamer Libraries
od: Bauskar, Starlika, et al.
Izdano: (2025)
od: Bauskar, Starlika, et al.
Izdano: (2025)
LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
od: De Vito, Gabriele, et al.
Izdano: (2025)
od: De Vito, Gabriele, et al.
Izdano: (2025)
MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials
od: Shao, Qian, et al.
Izdano: (2025)
od: Shao, Qian, et al.
Izdano: (2025)
Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
od: Vefghi, Ali, et al.
Izdano: (2025)
od: Vefghi, Ali, et al.
Izdano: (2025)
MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation
od: Li, Shuqi, et al.
Izdano: (2024)
od: Li, Shuqi, et al.
Izdano: (2024)
Podobne knjige/članki
-
The Geometric Alignment Tax: Tokenization vs. Continuous Geometry in Scientific Foundation Models
od: Raju, Prashant C.
Izdano: (2026) -
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification
od: Vollenweider, Michael, et al.
Izdano: (2024) -
Approximating mutual information of high-dimensional variables using learned representations
od: Gowri, Gokul, et al.
Izdano: (2024) -
A Graph Based Raman Spectral Processing Technique for Exosome Classification
od: Ngo, Vuong M., et al.
Izdano: (2025) -
Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design
od: Chadi, Mohamed-Amine, et al.
Izdano: (2023)