[HTML][HTML] Confronting the data deluge: How artificial intelligence can be used in the study of plant stress
The advent of the genomics era enabled the generation of high-throughput data and
computational methods that serve as powerful hypothesis-generating tools to understand …
computational methods that serve as powerful hypothesis-generating tools to understand …
[HTML][HTML] Large language models and their applications in bioinformatics
Abstract Recent advancements in Natural Language Processing (NLP) have been
significantly driven by the development of Large Language Models (LLMs), representing a …
significantly driven by the development of Large Language Models (LLMs), representing a …
[HTML][HTML] Machine learning methods for histopathological image analysis: Updates in 2024
D Komura, M Ochi, S Ishikawa - Computational and Structural …, 2024 - Elsevier
The combination of artificial intelligence and digital pathology has emerged as a
transformative force in healthcare and biomedical research. As an update to our 2018 …
transformative force in healthcare and biomedical research. As an update to our 2018 …
Causal Representation Learning from Multimodal Biological Observations
Prevalent in biological applications (eg, human phenotype measurements), multimodal
datasets can provide valuable insights into the underlying biological mechanisms. However …
datasets can provide valuable insights into the underlying biological mechanisms. However …
A Review on the Applications of Transformer-based language models for Nucleotide Sequence Analysis
In recent times, Transformer-based language models are making quite an impact in the field
of natural language processing. As relevant parallels can be drawn between biological …
of natural language processing. As relevant parallels can be drawn between biological …
Does your model understand genes? A benchmark of gene properties for biological and text models
Y Kan-Tor, MM Danziger, E Zohar, M Ninio… - arxiv preprint arxiv …, 2024 - arxiv.org
The application of deep learning methods, particularly foundation models, in biological
research has surged in recent years. These models can be text-based or trained on …
research has surged in recent years. These models can be text-based or trained on …