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RNA|seq and AI for CUP


CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular ...

We developed an RNA-based classifier called CUP-AI-Dx that utilizes a 1D Inception convolutional neural network (1D-Inception) model to infer a tumor's primary ...

CUP-AI-Dx: A tool for inferring cancer tissue of origin and ... - PubMed

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence. EBioMedicine. 2020 ...

A cross-cohort computational framework to trace tumor tissue-of ...

... cancer types based on RNA sequencing (RNA-seq). Specifically, we ... Cup-ai-dx: A tool for inferring cancer tissue of origin and ...

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular ...

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence. Zhao Y, Pan Z ...

Artificial Intelligence-Assisted Transcriptomic Analysis to Advance ...

Analyzing transcriptome data obtained from scRNA-seq requires AI ... Single-Cell RNA Sequencing in Cancer: Lessons Learned and Emerging Challenges ...

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular ...

Semantic Scholar extracted view of "CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression ...

Big data and deep learning for RNA biology - Nature

The idea was adopted in DeepExpression to predict gene expression from sequences and in CUP-AI-Dx to classify metastatic cancers using RNA-seq.

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular ...

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence. Yue Zhao,; Ziwei Pan ...

A New AI Tool Predicts Gene Expression in a Single Cell | RNA-Seq ...

An artificial intelligence tool, scGPT, can identify cell types, predict the effects of disrupting genes, and pinpoint which genes interact with each other.

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

Staging cancer early increases the chances of recovery. One staging technique is RNA sequence analysis. Recent advances in the efficiency and ...

Dana-Farber AI-model predicts primary source of cancer using gene ...

Dana-Farber AI-model predicts primary source of cancer using gene sequencing data ... CUP tumors.” OncoNPC, short for Oncology NGS-based ...

Biostate AI Aims to Lower Cost, Increase Utility of RNA-Seq for ...

NEW YORK – Biostate AI this week exited stealth mode by unveiling a total RNA-seq service alongside a natural language-based AI tool for ...

Identification of Tissue of Origin and Guided Therapeutic ...

CUP-AI-Dx: a tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence. EBioMedicine, 61 ...

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

This paper investigates statistical techniques and artificial intelligence (AI) based non-small cell lung cancer transcriptome data analysis methods

Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data ...

artificial intelligence; RNA sequencing; cancer heterogeneity. 1 ... CUP-AI-Dx: A Tool for Inferring Cancer Tissue of Origin and ...

AI tool helps predicts patient responses to cancer drugs - NCI

Current approaches to matching patients to drugs rely on bulk sequencing of tumor DNA and RNA, which takes an average of all the cells in a ...

Artificial intelligence and machine learning in RNA biology

The convergence of artificial intelligence (AI) and machine learning (ML) with the field of RNA biology has ushered in a new era of ...

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.

PERCEPTION – an AI tool that predicts patient response and ...

In contrast to bulk sequencing, a newer technology known as single-cell RNA sequencing provides much higher resolution data, down to the single- ...

Artificial intelligence in bulk and single-cell RNA-sequencing data to ...

As discussed in the manuscript, feature centering and scaling is a critical preprocessing step to assure that all variables proportionally contribute to the AI ...