2019
Deep Learning Implicitly Handles Tissue Specific Phenomena to Predict Tumor DNA Accessibility and Immune Activity
Wnuk K, Sudol J, Givechian K, Soon-Shiong P, Rabizadeh S, Szeto C, Vaske C. Deep Learning Implicitly Handles Tissue Specific Phenomena to Predict Tumor DNA Accessibility and Immune Activity. IScience 2019, 20: 119-136. PMID: 31563852, PMCID: PMC6823659, DOI: 10.1016/j.isci.2019.09.018.Peer-Reviewed Original ResearchDNA accessibilityChromatin stateOpen chromatin stateChromatin regulationSpecific tissue typesPromoter-flanking regionAccessibility landscapeCancer Genome AtlasTranscriptional eventsTissue-specific phenomenonDNA sequencesGenome AtlasTissue typesImmune pathwaysPromoterTumor progressionAccessibility patternsLung adenocarcinomaNew toolKey dynamic featuresTumor typesPathwayRegulationImmune activitySequence
2015
Teratoma Formation: A Tool for Monitoring Pluripotency in Stem Cell Research
Nelakanti RV, Kooreman NG, Wu JC. Teratoma Formation: A Tool for Monitoring Pluripotency in Stem Cell Research. Current Protocols In Stem Cell Biology 2015, 32: 4a.8.1-4a.8.17. PMID: 25640819, PMCID: PMC4402211, DOI: 10.1002/9780470151808.sc04a08s32.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsEmbryonic germ layersInduced pluripotent stem cellsPluripotent stem cellsSpecific tissue typesStem cell researchGerm layersPluripotencyTeratoma formationTeratoma growthStem cellsTissue typesCell researchCell linesDetailed identificationMesodermCellsImmunodeficient miceProtocolGrowthLayerIdentification
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