Cover Image

The CAST package for training and assessment of spatial prediction models in R

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meyer, Hanna, Ludwig, Marvin, Milà, Carles, Linnenbrink, Jan, Schumacher, Fabian
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SurvHive: a package to consistently access multiple survival-analysis packages
by: Birolo, Giovanni, et al.
Published: (2025)

Exploring the limits of pre-trained embeddings in machine-guided protein design: a case study on predicting AAV vector viability
by: Rodrigues, Ana F., et al.
Published: (2026)

Protenix-Mini+: efficient structure prediction model with scalable pairformer
by: Qiang, Bo, et al.
Published: (2025)

Improved prediction of ligand-protein binding affinities by meta-modeling
by: Lee, Ho-Joon, et al.
Published: (2023)

Precision psychiatry: predicting predictability
by: van Dellen, Edwin
Published: (2023)

Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis
by: Partin, Alexander, et al.
Published: (2025)

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
by: Adrian, Matthew, et al.
Published: (2025)

SAGE-FM: A lightweight and interpretable spatial transcriptomics foundation model
by: Zhan, Xianghao, et al.
Published: (2026)

PatchProt: Hydrophobic patch prediction using protein foundation models
by: Gogishvili, Dea, et al.
Published: (2024)

Active learning for affinity prediction of antibodies
by: Gessner, Alexandra, et al.
Published: (2024)

Generative power of a protein language model trained on multiple sequence alignments
by: Sgarbossa, Damiano, et al.
Published: (2022)

Motif-aware Attribute Masking for Molecular Graph Pre-training
by: Inae, Eric, et al.
Published: (2023)

Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank
by: Menestrel, Thomas Le, 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)

Consensus statement on the credibility assessment of ML predictors
by: Aldieri, Alessandra, et al.
Published: (2025)

Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy
by: Boussena, Mohamed, et al.
Published: (2026)

Early warning prediction: Onsager-Machlup vs Schrödinger
by: Xu, Xiaoai, et al.
Published: (2026)

Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics
by: Fan, Zhiwei, et al.
Published: (2025)

eegFloss: A Python package for refining sleep EEG recordings using machine learning models
by: Sikder, Niloy, et al.
Published: (2025)

MIEO: encoding clinical data to enhance cardiovascular event prediction
by: Borghini, Davide, et al.
Published: (2025)

Edge-aware GAT-based protein binding site prediction
by: Yang, Weisen, et al.
Published: (2026)

Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases
by: Pagán, Josué, et al.
Published: (2024)

Training distribution determines the ceiling of drug-blind cancer sensitivity prediction
by: Heo, Taekyung
Published: (2026)

Is novelty predictable?
by: Fannjiang, Clara, et al.
Published: (2023)

Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision
by: Shah, Aayush, et al.
Published: (2024)

Leak Proof CMap; a framework for training and evaluation of cell line agnostic L1000 similarity methods
by: Shave, Steven, et al.
Published: (2024)

Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1
by: Di Teodoro, Giulia, et al.
Published: (2023)

Accurate RNA 3D structure prediction using a language model-based deep learning approach
by: Shen, Tao, et al.
Published: (2022)

A meaningful prediction of functional decline in amyotrophic lateral sclerosis based on multi-event survival analysis
by: Lillelund, Christian Marius, 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)

SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects
by: Florensa, Alfred Ferrer, et al.
Published: (2024)

Boosting drug-disease association prediction for drug repositioning via dual-feature extraction and cross-dual-domain decoding
by: Zhu, Enqiang, et al.
Published: (2024)

GramSeq-DTA: A grammar-based drug-target affinity prediction approach fusing gene expression information
by: Debnath, Kusal, et al.
Published: (2024)

Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow
by: Sakalyan, Kristiyan, et al.
Published: (2025)

Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
by: Palma, Alessandro, et al.
Published: (2025)

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)

LLM$^3$-DTI: A Large Language Model and Multi-modal data co-powered framework for Drug-Target Interaction prediction
by: Zhang, Yuhao, et al.
Published: (2025)

Inferring processes within dynamic forest models using hybrid modeling
by: Pichler, Maximilian, et al.
Published: (2025)

The limits of bio-molecular modeling with large language models : a cross-scale evaluation
by: Xu, Yaxin, et al.
Published: (2026)

Autofocused oracles for model-based design
by: Fannjiang, Clara, et al.
Published: (2020)