In the defense sector, artificial intelligence (AI) and machine learning (ML) have been used
to analyse and decipher massive volumes of data, namely for target recognition …

Enhancers are genomic DNA elements controlling spatiotemporal gene expression. Their
flexible organization and functional redundancies make deciphering their sequence-function …

Decoding the linguistic intricacies of the genome is a crucial problem in biology, and pre-
trained foundational models such as DNABERT and Nucleotide Transformer have made …

There has been a sharp increase in liver disease globally, and many people are dying
without even knowing that they have it. As a result of its limited symptoms, it is extremely …

With the emergence of multidrug-resistant bacteria, antimicrobial peptides (AMPs) offer
promising options for replacing traditional antibiotics to treat bacterial infections, but …

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 …

Identification of chromatin interactions is crucial for advancing our knowledge of gene
regulation. However, due to the limitations of high-throughput experimental techniques …

Pre-trained large language models demonstrate potential in extracting information from DNA
sequences, yet adapting to a variety of tasks and data modalities remains a challenge. To …

The effectiveness of any Machine Learning process depends on the accuracy of annotated
data that is used to train a learner. However, manual annotation is expensive. Hence …

Accurate polyp segmentation is important for the diagnosis and treatment of colon cancer. In
recent years, efforts have been made to improve the encoder-decoder framework by using …