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Differentiating between liver diseases by applying multiclass machine learning approaches to transcriptomics of liver tissue or blood-based samples

JHEP Reports(2022)10.1016/j.jhepr.2022.100560Source: DataRank Database

Differentiating between liver diseases by applying multiclass machine learning approaches to transcriptomics of liver tissue or blood-based samples is a research paper published in JHEP Reports (2022). On theSindex it has a DataRank of 0. It has been cited 19 times.

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Enrichment:Funding (8 grants)OA: goldTopics (88)IDs (PubMed)SDGs (1)

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Authors (8)

Chr̀istophe Magnan ORCID,Aliya Asghar,Andrew Stolz ORCID,John A. Tayek ORCID,Zhang‐Xu Liu ORCID

Live enrichment

PubMed:36119721

National Institutes of Health

Grant: 5U01AA021884-03

Southern California Alcoholic Hepatitis Consortium Administrative Core

National Institutes of Health

Grant: 5U01AA021886-02

A prospective, randomized, clinical trial to evaluate two novel therapies, mycoph

National Institutes of Health

Grant: 4U01AA021857-04

Immunity in alcoholic hepatitis.

National Institutes of Health

Grant: 1S10OD010794-01

PacBio RS Single Molecule, Real-Time (SMRT) DNA Sequencer

National Institutes of Health

Grant: 1S10OD021718-01

High-Throughput DNA Sequencer

National Institutes of Health

Grant: 5U01AA021838-03

Transcriptomics of Liver in Alcoholic Hepatitis

National Institutes of Health

Grant: 1S10RR025496-01

High Throughput DNA Sequencer

National Institutes of Health

Grant: 3P30CA062203-27S1

Clinical Trial Advancement and Development for Sarcomas

goldLicense: cc-by

publisherhttp://www.jhep-reports.eu/article/S258955592200132X/pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9472076

repositoryhttps://doaj.org/article/a8c226faa38c42908eda30464d20226b

repositoryhttps://escholarship.org/uc/item/5pz8667d

https://doi.org/10.1016/j.jhepr.2022.100560

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Alcohol Use and Health (rcdc)liver tissue cell distribution systemFPKMTNFLRRC799-869Oral and gastrointestinal (hrcs-hc)Oral and gastrointestinalHepatitisDEAlcohol Use and HealthSubstance MisuseClinical Research (rcdc)AKR1B10alcohol-associated cirrhosisLVbiomarker discoveryMachine Learning and Artificial Intelligencealcohol-associated hepatitisblood transcription module32 Biomedical and Clinical Sciences (for-2020)Liver Disease (rcdc)SCAHCliver tissueSubstance Misuse (rcdc)3 Good Health and Well Being (sdg)MMPLiver DiseaseRNA sequencingDiseases of the digestive system. Gastroenterologyperipheral blood mononuclear cellsClassificationAlcoholismInfectious Diseasesmachine learningnon-alcohol-associated fatty liver diseaseBTMIngenuity Pathway AnalysisMachine Learning and Artificial Intelligence (rcdc)gene set-enrichment analysisDigestive Diseases (rcdc)Research Article570aldo-keto reductase family 1 member B10SVMtumor necrosis factorClinical SciencesChronic Liver Disease and Cirrhosis610Emerging Infectious Diseases (rcdc)differential expressionChronic Liver Disease and Cirrhosis (rcdc)fragments per kilobase of exon model per million reads mappedClinical Researchmatrix metalloproteasesNAFLDGeneticssupport vector machine3202 Clinical Sciences (for-2020)GSEAIGBiomedical and Clinical SciencesGenetics (rcdc)logistic regressionLTCDSHuman Genome4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac)k-nearest neighborskNNHuman Genome (rcdc)MLalcohol-associated liver diseaseAC4.1 Discovery and preclinical testing of markers and technologiesEmerging Infectious DiseasesGood Health and Well BeingSouthern California Alcoholic Hepatitis ConsortiumInfectious Diseases (rcdc)AHinformation gainIPAPBMCsHepatitis (rcdc)RNA-seqDigestive Diseases

Sustainable Development Goals

SDG 3: 3. Good health