Application of machine learning and genomics for orphan crop improvement
TR MacNish, MF Danilevicz, PE Bayer… - Nature …, 2025 - nature.com
Orphan crops are important sources of nutrition in developing regions and many are tolerant
to biotic and abiotic stressors; however, modern crop improvement technologies have not …
to biotic and abiotic stressors; however, modern crop improvement technologies have not …
[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] Large language models in bioinformatics: applications and perspectives
Large language models (LLMs) are a class of artificial intelligence models based on deep
learning, which have great performance in various tasks, especially in natural language …
learning, which have great performance in various tasks, especially in natural language …
BERT-5mC: an interpretable model for predicting 5-methylcytosine sites of DNA based on BERT
S Wang, Y Liu, Y Liu, Y Zhang, X Zhu - PeerJ, 2023 - peerj.com
Abstract DNA 5-methylcytosine (5mC) is widely present in multicellular eukaryotes, which
plays important roles in various developmental and physiological processes and a wide …
plays important roles in various developmental and physiological processes and a wide …
An Integrated Multi-Model Framework Utilizing Convolutional Neural Networks Coupled with Feature Extraction for Identification of 4mC Sites in DNA Sequences
M Tahir, S Hussain, FK Alarfaj - Computers in Biology and Medicine, 2024 - Elsevier
Abstract N4-methylcytosine (4mC) is a chemical modification that occurs on one of the four
nucleotide bases in DNA and plays a vital role in DNA expression, repair, and replication. It …
nucleotide bases in DNA and plays a vital role in DNA expression, repair, and replication. It …
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content
An ever-increasing amount of social media content requires advanced AI-based computer
programs capable of extracting useful information. Specifically, the extraction of health …
programs capable of extracting useful information. Specifically, the extraction of health …
[HTML][HTML] Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR
The revolutionary CRISPR-Cas9 system leverages a programmable guide RNA (gRNA) and
Cas9 proteins to precisely cleave problematic regions within DNA sequences. This …
Cas9 proteins to precisely cleave problematic regions within DNA sequences. This …
RNA sequence analysis landscape: A comprehensive review of task types, databases, datasets, word embedding methods, and language models
Deciphering information of RNA sequences reveals their diverse roles in living organisms,
including gene regulation and protein synthesis. Aberrations in RNA sequence such as …
including gene regulation and protein synthesis. Aberrations in RNA sequence such as …
The Explainability of Transformers: Current Status and Directions
P Fantozzi, M Naldi - Computers, 2024 - mdpi.com
An increasing demand for model explainability has accompanied the widespread adoption
of transformers in various fields of applications. In this paper, we conduct a survey of the …
of transformers in various fields of applications. In this paper, we conduct a survey of the …
Strategies for effectively modelling promoter-driven gene expression using transfer learning
The ability to deliver genetic cargo to human cells is enabling rapid progress in molecular
medicine, but designing this cargo for precise expression in specific cell types is a major …
medicine, but designing this cargo for precise expression in specific cell types is a major …