van der Meer D, Cheng W, Rokicki J, Fernandez-Cabello S, Shadrin A, Smeland O, Ehrhart F, Gülöksüz S, Pries L, Lin B, Rutten B, van Os J, O’Donovan M, Richards A, Steen N, Djurovic S, Westlye L, Andreassen O, Kaufmann T, Aguilar E, Akdede B, Alptekin K, Altınyazar V, Amoretti S, Andric-Petrovic S, Arango C, Arrojo M, Atbaşoğlu C, Bernardo M, Binbay T, Bobes J, Cankurtaran E, Carracedo A, Cihan B, Delespaul P, García-Portilla M, González-Peñas J, Guloksuz S, Gümüş-Akay G, Jiménez-López E, Ulusoy Kaymak S, Kenis G, Lin B, López G, Luykx J, Maric N, Mezquida G, Mihaljevic M, Mirjanic T, Parellada M, Pries K, Rivero O, Rutten B, Saiz P, Can Saka M, Sanjuan J, Luis Santos J, Soygür H, Üçok A, Ulaş H, van Os J, Yalınçetin B, Alizadeh B, van Amelsvoort T, Cahn W, de Haan L, Schirmbeck F, van Os J, Veling W. Clustering Schizophrenia Genes by Their Temporal Expression Patterns Aids Functional Interpretation. Schizophrenia Bulletin 2023, 50: 327-338. PMID: 37824720, PMCID: PMC10919784, DOI: 10.1093/schbul/sbad140.Peer-Reviewed Original Research