2023
Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders
Zhu T, Wang W, Chen Y, Kranzler H, Li C, Bi J. Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2023, 9: 326-336. PMID: 37696489, PMCID: PMC10976073, DOI: 10.1016/j.bpsc.2023.08.010.Peer-Reviewed Original ResearchNicotine use disorderHealthy controlsFunctional connectivity featuresUse disordersMagnetic resonance imagingNUD subjectsVisual cortexResonance imagingClinical metricsFunctional connectivityNoninvasive toolNeural phenotypesSample of individualsMulti-task learningTransdiagnostic approachUK BiobankReplication setGenetic profileMarkersReplication sampleHighest areaDisordersDepressionAUDBody of literature
2017
Aldehyde dehydrogenase 1B1: a novel immunohistological marker for colorectal cancer
Matsumoto A, Arcaroli J, Chen Y, Gasparetto M, Neumeister V, Thompson DC, Singh S, Smith C, Messersmith W, Vasiliou V. Aldehyde dehydrogenase 1B1: a novel immunohistological marker for colorectal cancer. British Journal Of Cancer 2017, 117: 1537-1543. PMID: 28881356, PMCID: PMC5680456, DOI: 10.1038/bjc.2017.304.Peer-Reviewed Original ResearchConceptsCRC markersTumor tissueNormal tissuesCell linesHuman CRC explantsCRC cell linesColorectal cancer markersAldehyde dehydrogenase 1A1CRC explantsImmunohistological biomarkersColorectal cancerCRC biomarkersImmunohistological markersTissue microarraySolid tumorsLow expressionMicroarray findingsGenetic alterationsALDH isozymesCell populationsALDH1A1CRCMRNA analysisCancer markersMarkers