Cover Image

Opportunities in deep learning methods development for computational biology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Alex Jihun, Abbasi-Asl, Reza
Format:	Preprint
Published:	2024
Subjects:	Quantitative Methods Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
by: Stock, Michiel, et al.
Published: (2024)

Physics-informed deep learning for infectious disease forecasting
by: Qian, Ying, et al.
Published: (2025)

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)

Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak
by: Barman, Madhab, et al.
Published: (2025)

deepNoC: A deep learning system to assign the number of contributors to a short tandem repeat DNA profile
by: Taylor, Duncan, et al.
Published: (2024)

DeepDR: an integrated deep-learning model web server for drug repositioning
by: Jin, Shuting, et al.
Published: (2025)

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis
by: Zhang, Zeyu, et al.
Published: (2024)

DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM
by: Zuo, Wenxuan, et al.
Published: (2024)

GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discovery
by: Ning, Jingjie, et al.
Published: (2026)

A robust generalizable device-agnostic deep learning model for sleep-wake determination from triaxial wrist accelerometry
by: Montazeri, Nasim, et al.
Published: (2025)

PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network
by: Abbasi, Karim, et al.
Published: (2024)

Predicting discrete-time bifurcations with deep learning
by: Bury, Thomas M., et al.
Published: (2023)

Domain adaptation in small-scale and heterogeneous biological datasets
by: Orouji, Seyedmehdi, et al.
Published: (2024)

Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology
by: Pillonetto, G., et al.
Published: (2025)

Linguistically inspired roadmap for building biologically reliable protein language models
by: Vu, Mai Ha, et al.
Published: (2022)

Recent advances in deep learning and language models for studying the microbiome
by: Yan, Binghao, et al.
Published: (2024)

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

MD-Syn: Synergistic drug combination prediction based on the multidimensional feature fusion method and attention mechanisms
by: Ge, XinXin, et al.
Published: (2025)

A Python library for efficient computation of molecular fingerprints
by: Szafarczyk, Michał, et al.
Published: (2024)

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
by: Zbinden, Robin, et al.
Published: (2024)

Single molecule localization microscopy challenge: a biologically inspired benchmark for long-sequence modeling
by: Valeh, Fatemeh, et al.
Published: (2026)

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
by: Adiyeke, Esra, et al.
Published: (2025)

A benchmark for computational analysis of animal behavior, using animal-borne tags
by: Hoffman, Benjamin, et al.
Published: (2023)

In-silico biological discovery with large perturbation models
by: Miladinovic, Djordje, et al.
Published: (2025)

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data
by: Frank, Robert, et al.
Published: (2025)

Depression Detection Based on Electroencephalography Using a Hybrid Deep Neural Network CNN-GRU and MRMR Feature Selection
by: Yousefi, Mohammad Reza, et al.
Published: (2026)

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

PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease
by: Kim, Yeojin, et al.
Published: (2022)

Transforming Multi-Omics Integration with GANs: Applications in Alzheimer's and Cancer
by: Reza, Md Selim, et al.
Published: (2025)

Reliable algorithm selection for machine learning-guided design
by: Fannjiang, Clara, et al.
Published: (2025)

DeepAtlas: a tool for effective manifold learning
by: Hughes, Serena, et al.
Published: (2025)

Deep learning-guided evolutionary optimization for protein design
by: Hartman, Erik, et al.
Published: (2026)

Fully-automated sleep staging: multicenter validation of a generalizable deep neural network for Parkinson's disease and isolated REM sleep behavior disorder
by: Strøm, Jesper, et al.
Published: (2026)

Geometric deep learning assists protein engineering. Opportunities and Challenges
by: García-Vinuesa, Julián, et al.
Published: (2025)

Machine learning approaches to explore important features behind bird flight modes
by: Kawai, Yukino, et al.
Published: (2024)

Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning
by: Fishman, Nic, et al.
Published: (2025)

Automating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning
by: Wang, Qingqing, et al.
Published: (2024)

AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts
by: Grieger, Niklas, et al.
Published: (2025)

dsLassoCov: a federated machine learning approach incorporating covariate control
by: Cao, Han, et al.
Published: (2024)