Leveraging transformers‐based language models in proteome bioinformatics
NQK Le - Proteomics, 2023 - Wiley Online Library
In recent years, the rapid growth of biological data has increased interest in using
bioinformatics to analyze and interpret this data. Proteomics, which studies the structure …
bioinformatics to analyze and interpret this data. Proteomics, which studies the structure …
mRCat: A Novel CatBoost Predictor for the Binary Classification of mRNA Subcellular Localization by Fusing Large Language Model Representation and Sequence …
X Wang, L Yang, R Wang - Biomolecules, 2024 - mdpi.com
The subcellular localization of messenger RNAs (mRNAs) is a pivotal aspect of
biomolecules, tightly linked to gene regulation and protein synthesis, and offers innovative …
biomolecules, tightly linked to gene regulation and protein synthesis, and offers innovative …
A unified evolution-driven deep learning framework for virus variation driver prediction
The increasing frequency of emerging viral infections necessitates a rapid human response,
highlighting the cost-effectiveness of computational methods. However, existing …
highlighting the cost-effectiveness of computational methods. However, existing …
Synthcap: Augmenting transformers with synthetic data for image captioning
Image captioning is a challenging task that combines Computer Vision and Natural
Language Processing to generate descriptive and accurate textual descriptions for input …
Language Processing to generate descriptive and accurate textual descriptions for input …
MiREx: mRNA levels prediction from gene sequence and miRNA target knowledge
Messenger RNA (mRNA) has an essential role in the protein production process. Predicting
mRNA expression levels accurately is crucial for understanding gene regulation, and …
mRNA expression levels accurately is crucial for understanding gene regulation, and …
[HTML][HTML] TExCNN: Leveraging Pre-Trained Models to Predict Gene Expression from Genomic Sequences
Background/Objectives: Understanding the relationship between DNA sequences and gene
expression levels is of significant biological importance. Recent advancements have …
expression levels is of significant biological importance. Recent advancements have …
Location Matters: Harnessing Spatial Information to Enhance the Segmentation of the Inferior Alveolar Canal in CBCTs
The segmentation of the Inferior Alveolar Canal (IAC) plays a central role in maxillofacial
surgery, drawing significant attention in the current research. Because of their outstanding …
surgery, drawing significant attention in the current research. Because of their outstanding …
Transformer-Based Gene Expression Levels Prediction Using Multimodal Information
T Song, Z Pan, H Song, Y Gao, H Dai… - … on Bioinformatics and …, 2024 - ieeexplore.ieee.org
Gene expression is a pivotal biological process within organisms, and in recent years, the
prediction of gene expression levels has garnered increasing attention due to its vast …
prediction of gene expression levels has garnered increasing attention due to its vast …
Learning Regulatory Contributions to Gene Expression Variation in Grasses
TH Ferebee - 2024 - search.proquest.com
In the advent of a rapidly changing climate, there is a need for rapid selection and editing of
plants to develop climate resilience. To aid in these efforts, interpretable and accurate …
plants to develop climate resilience. To aid in these efforts, interpretable and accurate …
[ΒΙΒΛΙΟ][B] Rotationally equivariant learning of generalizable protein structure-to-function maps
M Pun - 2023 - search.proquest.com
Proteins play a central role in biology from immune recognition to brain activity. Although
major advances in machine learning have improved our ability to predict protein structure …
major advances in machine learning have improved our ability to predict protein structure …