- Title
- An Integrated Gene Expression Landscape Profiling Approach to Identify Lung Tumor Endothelial Cell Heterogeneity and Angiogenic Candidates
- Creators - without role
- Jermaine GoveiaKaterina RohlenovaFederico TavernaLucas TrepsLena-Christin ConradiAndreas PircherVincent GeldhofLaura P M H de RooijJoanna KaluckaLiliana SokolMelissa García-CaballeroYingfeng ZhengJunbin QianLaure-Anne TeuwenShawez KhanBram BoeckxEls WautersHerbert DecaluwéPaul De LeynJohan VansteenkisteBirgit WeynandXavier SagaertErik VerbekenAlbert WolthuisBaki TopalWouter EveraertsHanibal BohnenbergerAlexander EmmertDena PanovskaFrederik De SmetFrank J T StaalRene J MclaughlinFrancis ImpensVincenzo LaganiStefan VinckierMassimiliano MazzoneLuc SchoonjansMieke DewerchinGuy EelenTobias K KarakachHuanming YangJian WangLars BolundLin LinBernard ThienpontXuri LiDiether LambrechtsYonglun LuoPeter Carmeliet
- Publication Details
- Cancer cell, Vol.37(3), pp.421-421
- Identifiers
- 9941751008331
- Academic Unit
- King Abdullah University of Science & Technology
- Language
- English
- Resource Type
- Journal article
Journal article
An Integrated Gene Expression Landscape Profiling Approach to Identify Lung Tumor Endothelial Cell Heterogeneity and Angiogenic Candidates
Cancer cell, Vol.37(3), pp.421-421
16/03/2020
PMID: 32183954
Metrics
1 Record Views