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Computational Linguistics and Biological Sequences in Artificial Intelligence
Researchers generally believe that nucleic acid is also a language with rich information. Nucleic acid languageNucleic acid language can be used to... -
BioSequence2Vec: Efficient Embedding Generation for Biological Sequences
Representation learning is an important step in the machine learning pipeline. Given the current biological sequencing data volume, learning an... -
A new fast technique for pattern matching in biological sequences
At numerous phases of the computational process, pattern matching is essential. It enables users to search for specific DNA subsequences or DNA...
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Diagnosis of Event Sequences with LFIT
Diagnosis of the traces of executions of discrete event systems is of interest to understand dynamical behaviors of a wide range of real world... -
On the Expressive Power of Transfinite Sequences for Continuous Petri Nets
Continuous Petri nets (CPNs) form a model of (uncountably infinite) dynamic systems that has been successfully explored for modelling and theoretical... -
Deciphering cell types by integrating scATAC-seq data with genome sequences
The single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) technology provides insight into gene regulation and...
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Biological Sequence Comparison on Cloud-Based GPU Environment
Comparing two biological sequences in search for their relationship and regions of similarity is an important problem in modern computational... -
Automatic identification of rank correlation between image sequences
Correlation is one of the most common statistical tools and one of the most basic methods for discovery from data. Over the past century, correlation...
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Predictive analyses of regulatory sequences with EUGENe
Deep learning has become a popular tool to study cis-regulatory function. Yet efforts to design software for deep-learning analyses in regulatory...
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Multilevel characterization of unknown protein sequences using hierarchical long short term memory model
Multilevel characterization of the recently developed Unknown Protein Sequence (UPS) is significant for the drug-designing, disease-diagnosis, and...
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Unsupervised State Encoding in Video Sequences Using \(\beta \) -Variational Autoencoders
Monitoring and providing feedback on the execution of sequential tasks is common in various domains, such as industrial processes for quality... -
Biological Pathway Identification
Genome-wide association study (GWAS) has become an essential method to reveal the genetic mechanism of complex diseases. In the past decade, the... -
Hypergraph Computation for Medical and Biological Applications
Hypergraph computation, with its superior capability in complex data modeling, is a powerful tool for many medical and biological applications. In... -
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning
This paper presents a federated learning (FL) approach to train an AI model for SARS-Cov-2 variant classification. We analyze the SARS-CoV-2 spike... -
Biological Databases
Bioinformatics is the application of computing in the storageStorage and analysis of vast amount of biological dataData. These dataData are available... -
Robust hardware implementation of a block-cipher scheme based on chaos and biological algebraic operations
Currently, chaos-based cryptosystems are widely used for the reason of protecting sensitive data. Various different chaos-based cryptography systems...
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Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review
Biological big data are a massive amount of data generated from multi-omics experiments, such as genomics, transcriptomics, proteomics, metabolomics,...
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T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification
Cancer is a complex disease marked by uncontrolled cell growth, potentially leading to tumors and metastases. Identifying cancer types is crucial for... -
A Novel CRISPR-MultiTargeter Multi-agent Reinforcement learning (CMT-MARL) algorithm to identify editable target regions using a Hybrid scoring from multiple similar sequences
Genome edit is a modern technology to serve mankind. The main idea is derived from RNA mediated Nuclease, which is the CRISPR/Cas9 natural process of...
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Viral Sequences Data Management Resources
The outbreak of the COVID-19 disease has presented novel challenges to the research community, which is rushing towards the delivery of results,...