RNA|seq and AI for CUP

Using artificial intelligence to document the hidden RNA virosphere

By employing this tool in conjunction with extensive sequence data, we demonstrate how AI can accurately and efficiently detect RNA viruses ...

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 ...

Recent applications of artificial intelligence in RNA-targeted small ...

In this review article, we will focus on the recent applications of AI tools in the early stages of RNA-targeted small molecule drug discovery.

RNA-Seq Gene Expression Classification Using Machine Learning ...

Examining people's faces with facial analysis AI programs to accurately identify genetic disorders. Using Machine Learning techniques to ...

RNA Language Models New AI Tool Bioengineering

Breakthrough RNA language models developed at UC Berkeley can predict mutations that improve RNA function for bioengineering applications.

RNA-seq assistant: machine learning based methods to identify ...

Although different quality controls have been applied at different stages of the sample preparation and data analysis to ensure both ...

New AI RNA Sequencing Tool May Simplify Gene Discovery

Use of AI and machine learning in the Healthcare Industry to Improve Patient Care and Clinical. Top Image: Bambu is a long-read RNA sequencing ...

AI and CRISPR Precisely Control Gene Expression - NYU

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 ...

MLSeq: Machine Learning Interface to RNA-Seq Data - Bioconductor

MLSeq is a comprehensive package for application of machine-learning algorithms in classification of next-generation RNA-Sequencing (RNA-Seq) ...

(PDF) Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing ...

Zhao, Y.; Pan, Z.; Namburi, S.; Pattison, A.; Posner, A.; Balachander, S.; Paisie, C.A.; Reddi, H.V.; Rueter, J.; Gill, A.J.; et al. CUP-AI-Dx: A Tool for ...

Artificial Intelligence | Caris Life Sciences

Caris Molecular AI · Caris FOLFIRSTai · Caris GPSai · DNA · RNA · Protein.

Novel AI-based approach for more accurate RNA 3D structure ...

A research team from the Cancer Science Institute of Singapore (CSI ... (AI) and deep-learning techniques to model atomic-level RNA 3D structures

RNAincoder: a deep learning-based encoder for RNA and RNA ...

Herein, RNAincoder was therefore proposed to (a) provide a comprehensive collection of RNA encoding features (including sequence-intrinsic, ...

Predicting Single Cell Gene Expression from Images Through AI

... AI at low cost, non-destructively and at large scale, with the potential to apply to humans in vivo? Single-cell RNA-seq (scRNA-seq) and ...

AI-Powered Single-cell Analysis - Sonrai Analytics

High-throughput single-cell sequencing offers unparalleled insights into the complexities of cellular functions and heterogeneity. By allowing ...

Transcriptomics 3: Supervised Machine Learning for RNA-seq Data

Transcriptomics 3 is a course dedicated to advanced methods of analysis, that will allow us to find meaningful patterns in data -especially ...

Artificial intelligence in clinical and genomic diagnostics

When applied to genomic sequence data, AI time series algorithms appear to be especially effective at detecting functional DNA sequence elements ...

Atomic AI

At Atomic AI, we are developing the cutting-edge fusion of machine learning and structural biology to unlock RNA drug discovery.

EWSC: Generative AI for modeling single-cell responses, Fabian Theis

MIA: Volker Bergen, RNA velocity generalized to transient cell states through dynamical modeling. Broad Institute•6.3K views · 37:43 · Go to ...

RNAcentral: The non-coding RNA sequence database

RNAcentral is a comprehensive database of non-coding RNA sequences that represents all types of ncRNA from a broad range of organisms. RNAcentral is the ...