AIMC Topic: Databases, Nucleic Acid

Clear Filters Showing 1 to 10 of 88 articles

Table2Vec-automated universal representation learning of enterprise data DNA for benchmarkable and explainable enterprise data science.

Scientific reports Dec 14, 2021
Enterprise data typically involves multiple heterogeneous data sources and external data that respectively record business activities, transactions, customer demographics, status, behaviors, interactions and communications with the enterprise, and th...
Machine Learning Software Sequence Analysis, DNA Databases, Nucleic Acid
View on PubMed DOI

Biological features between miRNAs and their targets are unveiled from deep learning models.

Scientific reports Dec 10, 2021
MicroRNAs (miRNAs) are ~ 22 nucleotide ubiquitous gene regulators. They modulate a broad range of essential cellular processes linked to human health and diseases. Consequently, identifying miRNA targets and understanding how they function are critic...
MicroRNAs Models, Biological Gene Expression Regulation Databases, Nucleic Acid RNA Interference Mutagenesis Gene Regulatory Networks Humans Base Pairing Computational Biology Algorithms RNA, Messenger Deep Learning
View on PubMed DOI

FexRNA: Exploratory Data Analysis and Feature Selection of Non-Coding RNA.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Non-coding RNA (ncRNA) is involved in many biological processes and diseases in all species. Many ncRNA datasets exist that provide ncRNA data in FASTA format which is well suited for biomedical purposes. However, for ncRNA analysis and classificatio...
RNA, Untranslated Databases, Nucleic Acid Algorithms Computational Biology Sequence Analysis, RNA Machine Learning Software
View on PubMed DOI

Classification and Functional Analysis between Cancer and Normal Tissues Using Explainable Pathway Deep Learning through RNA-Sequencing Gene Expression.

International journal of molecular sciences Oct 26, 2021
Deep learning has proven advantageous in solving cancer diagnostic or classification problems. However, it cannot explain the rationale behind human decisions. Biological pathway databases provide well-studied relationships between genes and their pa...
Humans Deep Learning RNA-Seq Gene Regulatory Networks Gene Expression Regulation, Neoplastic Neural Networks, Computer Databases, Nucleic Acid Neoplasms Diagnosis, Computer-Assisted
View on PubMed DOI

SCMAG: A Semisupervised Single-Cell Clustering Method Based on Matrix Aggregation Graph Convolutional Neural Network.

Computational and mathematical methods in medicine Oct 4, 2021
Clustering analysis is one of the most important technologies for single-cell data mining. It is widely used in the division of different gene sequences, the identification of functional genes, and the detection of new cell types. Although the tradit...
Cluster Analysis Supervised Machine Learning Data Mining Single-Cell Analysis Databases, Nucleic Acid Humans RNA-Seq Neural Networks, Computer Computational Biology Algorithms
View on PubMed DOI

GATNNCDA: A Method Based on Graph Attention Network and Multi-Layer Neural Network for Predicting circRNA-Disease Associations.

International journal of molecular sciences Aug 7, 2021
Circular RNAs (circRNAs) are a new class of endogenous non-coding RNAs with covalent closed loop structure. Researchers have revealed that circRNAs play an important role in human diseases. As experimental identification of interactions between circR...
RNA, Neoplasm RNA, Circular Carcinoma, Hepatocellular Computational Biology Databases, Nucleic Acid Humans Neural Networks, Computer Female Breast Neoplasms Liver Neoplasms
View on PubMed DOI

Analysis of DNA Sequence Classification Using CNN and Hybrid Models.

Computational and mathematical methods in medicine Jul 15, 2021
In a general computational context for biomedical data analysis, DNA sequence classification is a crucial challenge. Several machine learning techniques have used to complete this task in recent years successfully. Identification and classification o...
Deep Learning Computational Biology DNA, Viral Pandemics COVID-19 SARS-CoV-2 Databases, Nucleic Acid Sequence Analysis, DNA High-Throughput Nucleotide Sequencing Base Sequence Humans Neural Networks, Computer
View on PubMed DOI

Benchmarking and Testing Machine Learning Approaches with BARRA:CuRDa, a for Cancer Research.

Journal of computational biology : a journal of computational molecular cell biology Jul 14, 2021
Data Visualization Principal Component Analysis Benchmarking Databases, Nucleic Acid Neoplasms RNA-Seq Sequence Analysis, RNA Machine Learning Algorithms Humans Artificial Intelligence
View on PubMed DOI

coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data.

PLoS computational biology Jun 2, 2021
Technological advances have enabled us to profile multiple molecular layers at unprecedented single-cell resolution and the available datasets from multiple samples or domains are growing. These datasets, including scRNA-seq data, scATAC-seq data and...
Humans Machine Learning Software Animals Dendritic Cells Single-Cell Analysis Databases, Nucleic Acid Information Theory RNA, Small Cytoplasmic Computational Biology Cluster Analysis Cerebral Cortex RNA-Seq Mice Genomics
View on PubMed DOI

Comparison of machine-learning methodologies for accurate diagnosis of sepsis using microarray gene expression data.

PloS one May 17, 2021
We investigate the feasibility of molecular-level sample classification of sepsis using microarray gene expression data merged by in silico meta-analysis. Publicly available data series were extracted from NCBI Gene Expression Omnibus and EMBL-EBI Ar...
Gene Expression Regulation Oligonucleotide Array Sequence Analysis Databases, Nucleic Acid Male Gene Expression Profiling Sepsis Humans Machine Learning Female
View on PubMed DOI
Popular Topics
Recent Journals