Copertina

AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, You, Xie, Lei
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

STProtein: predicting spatial protein expression from multi-omics data
di: Jiang, Zhaorui, et al.
Pubblicazione: (2026)

Benchmarking AI scientists for omics data driven biological discovery
di: Luo, Erpai, et al.
Pubblicazione: (2025)

Mamba-driven multi-perspective structural understanding for molecular ground-state conformation prediction
di: Gou, Yuxin, et al.
Pubblicazione: (2025)

Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families
di: Polo, Felipe Maia, et al.
Pubblicazione: (2024)

Learning to fuse: dynamic integration of multi-source data for accurate battery lifespan prediction
di: Shanxuan, He, et al.
Pubblicazione: (2025)

MINT: A wrapper to make multi-modal and multi-image AI models interactive
di: Freyberg, Jan, et al.
Pubblicazione: (2024)

IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification
di: Huang, Yan, et al.
Pubblicazione: (2025)

MoXGATE: Modality-aware cross-attention for multi-omic gastrointestinal cancer sub-type classification
di: Dip, Sajib Acharjee, et al.
Pubblicazione: (2025)

Quantifying Model Uniqueness in Heterogeneous AI Ecosystems
di: You, Lei
Pubblicazione: (2026)

DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
di: Pan, Liangrui, et al.
Pubblicazione: (2023)

Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset
di: Ren, Yingxuan, et al.
Pubblicazione: (2024)

Bridging the phenotype-target gap for molecular generation via multi-objective reinforcement learning
di: Guo, Haotian, et al.
Pubblicazione: (2025)

A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw
di: Li, Wenwen, et al.
Pubblicazione: (2025)

Msmsfnet: a multi-stream and multi-scale fusion net for edge detection
di: Liu, Chenguang, et al.
Pubblicazione: (2024)

GContextFormer: A global context-aware hybrid multi-head attention approach with scaled additive aggregation for multimodal trajectory prediction
di: Chen, Yuzhi, et al.
Pubblicazione: (2025)

Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
di: Lakkaraju, Kausik, et al.
Pubblicazione: (2024)

A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study
di: Rao, Shishir, et al.
Pubblicazione: (2025)

Quantile deep learning models for multi-step ahead time series prediction
di: Cheung, Jimmy, et al.
Pubblicazione: (2024)

Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system
di: Wang, Junping, et al.
Pubblicazione: (2026)

TransportAgents: a multi-agents LLM framework for traffic accident severity prediction
di: Yang, Zhichao, et al.
Pubblicazione: (2026)

Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution
di: Chattopadhyay, Ashesh, et al.
Pubblicazione: (2023)

Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry
di: Gan, Mengjie, et al.
Pubblicazione: (2024)

A multi-scale loss formulation for learning a probabilistic model with proper score optimisation
di: Lang, Simon, et al.
Pubblicazione: (2025)

A multi-locus predictiveness curve and its summary assessment for genetic risk prediction
di: Wei, Changshuai, et al.
Pubblicazione: (2025)

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
di: Morel, Rudy, et al.
Pubblicazione: (2025)

Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares
di: Poggi, Aurora, et al.
Pubblicazione: (2025)

Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling
di: Yi, Jiaxiang, et al.
Pubblicazione: (2025)

Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
di: Jennings, Charlotte, et al.
Pubblicazione: (2025)

A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments
di: Bangad, Nikhil, et al.
Pubblicazione: (2024)

AI Generations: From AI 1.0 to AI 4.0
di: Wu, Jiahao, et al.
Pubblicazione: (2025)

Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease
di: He, Rosemary, et al.
Pubblicazione: (2024)

TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery
di: Wu, Kun, et al.
Pubblicazione: (2024)

A multi-cohort study on prediction of acute brain dysfunction states using selective state space models
di: Silva, Brandon, et al.
Pubblicazione: (2024)

Decomposition-based multi-scale transformer framework for time series anomaly detection
di: Zhang, Wenxin, et al.
Pubblicazione: (2025)

Appeal prediction for AI up-scaled Images
di: Göring, Steve, et al.
Pubblicazione: (2025)

Preventing the Collapse of Peer Review Requires Verification-First AI
di: You, Lei, et al.
Pubblicazione: (2026)

Towards Intelligent Geospatial Data Discovery: a knowledge graph-driven multi-agent framework powered by large language models
di: Liu, Ruixiang, et al.
Pubblicazione: (2026)

From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarks
di: Pihlakas, Roland
Pubblicazione: (2024)

AI-driven Large-scale Electron Microscopy enables Whole-tissue Subcellular Digitization
di: Xiao, Li, et al.
Pubblicazione: (2025)

Temporal convolutional and fusional transformer model with Bi-LSTM encoder-decoder for multi-time-window remaining useful life prediction
di: Pour, Mohamadreza Akbari, et al.
Pubblicazione: (2025)