Article

Machine learning and experiments revealed key genes related to PANoptosis linked to drug prediction and immune landscape in spinal cord injury

2024-09-23

Abstract excerpt

<title>Abstract</title> <p>Spinal cord injury (SCI) is a severe central nervous system injury without effective therapies. PANoptosis is involved in the development of many diseases, including brain and spinal cord injuries. However, the biological functions and molecular mechanisms of PANoptosis-related genes in spinal cord injury remain unclear. Bioinformatics analysis of public data of SCI, the differentially...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 508eeb33-8339-5bf8-84ac-bea4f9d4ca7c
DOI: 10.21203/rs.3.rs-4880316/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine learning and experiments revealed key genes related to PANoptosis linked to drug prediction and immune landscape in spinal cord injuryDOI 10.21203/rs.3.rs-4880316/v1Read

Machine Learning and Experiments Revealed Key Genes Related to PANoptosis Linked to Drug Prediction and Immune Landscape in Spinal Cord InjurySemantic proximity Read

Identification of key genes and pathways associated with spinal cord injurySemantic proximity Read

Integrated bioinformatics analysis identified cuproptosis-related hub gene Mpeg1 as potential biomarker in spinal cord injurySemantic proximity Read

The Integrated Transcriptome Bioinformatics Analysis Identifies Key Genes and Cellular Components for Spinal Cord Injury-Related Neuropathic PainSemantic proximity Read

Identification of regulatory network and potential drugs in spinal cord injury based on comprehensive bioinformatics analysisSemantic proximity Read

Bioinformatics analysis of programmed cell death in spinal cord injurySemantic proximity Read

Identification of hub genes in the subacute spinal cord injury in ratsSemantic proximity Read

Biomarkers mining for spinal cord injury based on integrated multi-transcriptome expression profile dataSemantic proximity Read

Identification of hub genes in the subacute spinal cord injury in ratsSemantic proximity Read

Comprehensive analysis based on machine learning algorithm: Hspb1 and Lgals3 in neurons after spinal cord injury are closely related to autophagySemantic proximity Read

Exploring the hub genes and potential mechanisms of complement system-related genes in Parkinson disease: based on transcriptome sequencing and Mendelian randomizationSemantic proximity Read

Bioinformatics approach to explore the common pathogenic genes between lumbar disc degeneration and osteoarthritisSemantic proximity Read