Artificial Intelligence Technique for Gene Expression by Tumor RNA ...

Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach. Abstract: Cancer is one ...

With the increase in the volume of gene expression data, AI-driven deep learning models have demonstrated better performance in key feature ...

Artificial Intelligence Technique for Gene Expression by Tumor RNA ...

A novel optimized deep learning approach based on binary particle swarm optimization with decision tree (BPSO-DT) and convolutional neural network (CNN) to ...

AI tool 'sees' cancer gene signatures in biopsy images | News Center

Researchers used artificial intelligence to predict the activity of thousands of genes in tumors based on routinely collected images of ...

Artificial Intelligence Technique for Gene Expression by Tumor RNA ...

... neural network (CNN) to classify different types of cancer based on tumor RNA sequence (RNA-Seq) gene expression data. The cancer types that will be ...

NIH researchers develop AI tool with potential to more precisely ...

Proof-of-concept study analyzed a newer technology known as single-cell RNA sequencing. What. In a proof-of-concept study, researchers at the ...

Artificial intelligence-based non-small cell lung cancer transcriptome ...

Since the detailed tools used for processing and gene expression analysis are different in single-cell RNA-seq and bulk RNA-seq analysis methods ...

A New AI Tool Predicts Gene Expression in a Single Cell

More recently, scientists have turned to single cell RNA sequencing (scRNA-seq), which provides insights into how gene expression varies between ...

A bio-inspired convolution neural network architecture for automatic ...

A deep learning model combined with an artificial intelligence-based feature selection method (AIFSDL-PCD) using gene expression data was ...

Novel research and future prospects of artificial intelligence in ...

Research into the potential benefits of artificial intelligence for comprehending the intricate biology of cancer has grown as a result of ...

A Novel Optimized Deep Learning Approach | Publons

Read a post-publication review of Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep ...

Artificial Intelligence in Cancer Research and Precision Medicine

Data obtained from next generation sequencing (NGS) – such as whole exome, whole genomes, and targeted panels, transcription profiles from microarray, RNA-seq, ...

Integrative analysis of RNA expression data unveils distinct cancer ...

A machine learning workflow consisting of dataset identification, normalization, feature selection, dimensionality reduction, clustering, and classification was ...

AI and CRISPR Precisely Control Gene Expression

Artificial intelligence can predict on- and off-target activity of CRISPR tools that target RNA instead of DNA, according to new research published in Nature ...

Leveraging State-of-the-Art AI Algorithms in Personalized Oncology

Methodology: We proposed a novel approach that includes obtaining different tumour tissues and preparing RNA samples for comprehensive transcriptomic ...

Deep learning techniques for cancer classification using microarray ...

This study analyses all the research studies focused on optimizing gene selection for cancer detection using artificial intelligence.

AI and precision oncology in clinical cancer genomics

The gene expression profile data can also be combined with outcome data in order to establish the relationship between gene expression profiles and the outcomes ...

Utilizing Machine Learning Techniques for Categorizing Cancer ...

By using DNA microarray techniques and RNA-sequencing approaches, researchers in computational genomics can give quantitative measures of gene ...

Review on Artificial Intelligence Based Techniques for Gene ...

Here, large-scale RNA-sequencing datasets in cancer are provided in this article as an overview of artificial intelligence approaches for of this analysis.

Machine Learning Methods for Cancer Classification Using Gene ...

It involves the transcription of DNA into messen- ger RNA (mRNA), followed by a translation into proteins. Gene expression analysis is employed to assess the ...