[HTML][HTML] mRCat: A Novel CatBoost Predictor for the Binary Classification of mRNA Subcellular Localization by Fusing Large Language Model Representation and …
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 …
BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification
The accurate classification of non-coding RNA (ncRNA) sequences is pivotal for advanced
non-coding genome annotation and analysis, a fundamental aspect of genomics that …
non-coding genome annotation and analysis, a fundamental aspect of genomics that …
PreSubLncR: Predicting Subcellular Localization of Long Non-Coding RNA Based on Multi-Scale Attention Convolutional Network and Bidirectional Long Short-Term …
X Wang, S Wang, R Wang, X Gao - Processes, 2024 - mdpi.com
The subcellular localization of long non-coding RNA (lncRNA) provides important insights
and opportunities for an in-depth understanding of cell biology, revealing disease …
and opportunities for an in-depth understanding of cell biology, revealing disease …
RPI-GGCN: Prediction of RNA–Protein Interaction Based on Interpretability Gated Graph Convolution Neural Network and Co-Regularized Variational Autoencoders
Y Wang, P Ding, C Wang, S He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
RNA–protein interactions (RPIs) play an important role in several fundamental cellular
physiological processes, including cell motility, chromosome replication, transcription and …
physiological processes, including cell motility, chromosome replication, transcription and …
Inference of gene regulatory networks based on directed graph convolutional networks
PJ Wei, Z Guo, Z Gao, Z Ding, RF Cao… - Briefings in …, 2024 - academic.oup.com
Inferring gene regulatory network (GRN) is one of the important challenges in systems
biology, and many outstanding computational methods have been proposed; however there …
biology, and many outstanding computational methods have been proposed; however there …
iProps: A comprehensive software tool for protein classification and analysis with automatic machine learning capabilities and model interpretation capabilities
C Feng, H Wei, C Xu, B Feng, X Zhu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Protein classification is a crucial field in bioinformatics. The development of a
comprehensive tool that can perform feature evaluation, visualization, automated machine …
comprehensive tool that can perform feature evaluation, visualization, automated machine …
[HTML][HTML] A multimodal dynamical variational autoencoder for audiovisual speech representation learning
High-dimensional data such as natural images or speech signals exhibit some form of
regularity, preventing their dimensions from varying independently. This suggests that there …
regularity, preventing their dimensions from varying independently. This suggests that there …
Ense-i6mA: Identification of DNA N6-methyl-adenine Sites Using XGB-RFE Feature Se-lection and Ensemble Machine Learning
DNA N6-methyladenine (6mA) is an important epigenetic modification that plays a vital role
in various cellular processes. Accurate identification of the 6mA sites is fundamental to …
in various cellular processes. Accurate identification of the 6mA sites is fundamental to …
A predictive approach for host-pathogen interactions using deep learning and protein sequences
T Shakibania, M Arabfard, A Najafi - VirusDisease, 2024 - Springer
Research on host-pathogen interactions (HPIs) has evolved rapidly during the past
decades. The more humans discover new pathogens, the more challenging it gets to find a …
decades. The more humans discover new pathogens, the more challenging it gets to find a …
Audiovisual speech representation learning applied to emotion recognition
S Sadok - 2024 - theses.hal.science
Emotions are vital in our daily lives, becoming a primary focus of ongoing research.
Automatic emotion recognition has gained considerable attention owing to its wide-ranging …
Automatic emotion recognition has gained considerable attention owing to its wide-ranging …