Drug Response Prediction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (46 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Integrating Random Forests and Generalized Linear Models for Improved Accuracy and Interpretability
  4 Jul 2023 2 repositories listed
  Random forests (RFs) are among the most popular supervised learning algorithms due to their nonlinear flexibility and ease-of-use.
• scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
  8 May 2025 1 repository listed
  In the pooled-data scenario, scFoundation achieved the best performance, with mean F1 scores of 0.
• Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis
  18 Mar 2025 1 repository listed
  To assess model generalization, we introduce a set of evaluation metrics that quantify both absolute performance (e.
• Foundation-Model-Boosted Multimodal Learning for fMRI-based Neuropathic Pain Drug Response Prediction
  28 Feb 2025 1 repository listed
  To address the challenge of data scarcity, we propose FMM_(TC), a Foundation-Model-boosted Multimodal learning framework for fMRI-based neuropathic pain drug response prediction, which leverages both internal multimodal…
• Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
  30 Aug 2024 1 repository listed
  Graph Neural Networks have been widely applied in critical decision-making areas that demand interpretable predictions, leading to the flourishing development of interpretability algorithms.
• DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network
  22 Aug 2024 1 repository listed
  DRExplainer constructs a directed bipartite network integrating multi-omics profiles of cell lines, the chemical structure of drugs and known drug response to achieve directed prediction.
• Prediction of naloxone dose in opioids toxicity based on machine learning techniques (artificial intelligence)
  21 May 2024 1 repository listed
  This study was designed to develop and evaluate machine learning algorithms for predicting the maintenance dose and duration of hospital stay in opioid poisoning, in order to facilitate appropriate clinical…
• WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer
  7 May 2024 1 repository listed Syntology ran 7 of 13 samples · 6 unverified · 13 pointer-only (licence)
  Cancer, a leading cause of death globally, occurs due to genomic changes and manifests heterogeneously across patients.
• Towards generalization of drug response prediction to single cells and patients utilizing importance-aware multi-source domain transfer learning
  8 Mar 2024 1 repository listed
  The advancement of single-cell sequencing technology has promoted the generation of a large amount of single-cell transcriptional profiles, providing unprecedented opportunities to identify drug-resistant cell…
• Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information
  16 Feb 2024 1 repository listed
  Cancer remains a global challenge due to its growing clinical and economic burden.
• CLDR: Contrastive Learning Drug Response Models from Natural Language Supervision
  17 Dec 2023 1 repository listed
  At the same time, in order to enhance the continuous representation capability of the numerical text, a common-sense numerical knowledge graph is introduced.
• TransCDR: a deep learning model for enhancing the generalizability of cancer drug response prediction through transfer learning and multimodal data fusion for drug representation
  17 Nov 2023 1 repository listed
  Although many models have been developed to utilize the representations of drugs and cancer cell lines for predicting cancer drug responses (CDR), their performances can be improved by addressing issues such as…
• Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening
  5 Oct 2023 1 repository listed
  In this paper, we propose a zero-shot learning solution for the DRP task in preclinical drug screening.
• Precision Anti-Cancer Drug Selection via Neural Ranking
  30 Jun 2023 1 repository listed
  To address this, we developed neural ranking approaches that leverage large-scale drug response data across multiple cell lines from diverse cancer types.
• Towards a Better Model with Dual Transformer for Drug Response Prediction
  23 Oct 2022 1 repository listed
  For the branch of cell lines genomics, we use the multi-headed attention mechanism to globally represent the genomics sequence.
• Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms
  14 Oct 2022 1 repository listed
  This study introduced a Drug Response Prediction (DRP) framework with two main goals: 1) design a data processing pipeline to extract information from tabular clinical data, and then preprocess it for functional use,…
• A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction
  31 Aug 2022 1 repository listed
  One important parameter is the depth of integration: the point at which the latent representations are computed or merged, which can be either early, intermediate, or late.
• Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images
  25 Apr 2022 1 repository listed
  Prediction performance of three unimodal NNs which use GE are compared to assess the contribution of data augmentation methods.
• AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks
  15 Dec 2021 1 repository listed
  Accurate drug response prediction (DRP) is a crucial yet challenging task in precision medicine.
• ASGARD: A Single-cell Guided pipeline to Aid Repurposing of Drugs
  14 Sep 2021 1 repository listed
  Intercellular heterogeneity is a major obstacle to successful precision medicine.
• Learning Curves for Drug Response Prediction in Cancer Cell Lines
  25 Nov 2020 1 repository listed
  In contrast, a GBDT with hyperparameter tuning exhibits superior performance as compared with both NNs at the lower range of training sizes for two of the datasets, whereas the mNN performs better at the higher range of…

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.