Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 15

1.

cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data.

Bravo González-Blas C, Minnoye L, Papasokrati D, Aibar S, Hulselmans G, Christiaens V, Davie K, Wouters J, Aerts S.

Nat Methods. 2019 May;16(5):397-400. doi: 10.1038/s41592-019-0367-1. Epub 2019 Apr 8.

2.

Toward Minimal Residual Disease-Directed Therapy in Melanoma.

Rambow F, Rogiers A, Marin-Bejar O, Aibar S, Femel J, Dewaele M, Karras P, Brown D, Chang YH, Debiec-Rychter M, Adriaens C, Radaelli E, Wolter P, Bechter O, Dummer R, Levesque M, Piris A, Frederick DT, Boland G, Flaherty KT, van den Oord J, Voet T, Aerts S, Lund AW, Marine JC.

Cell. 2018 Aug 9;174(4):843-855.e19. doi: 10.1016/j.cell.2018.06.025. Epub 2018 Jul 12.

3.

Phenotype molding of stromal cells in the lung tumor microenvironment.

Lambrechts D, Wauters E, Boeckx B, Aibar S, Nittner D, Burton O, Bassez A, Decaluwé H, Pircher A, Van den Eynde K, Weynand B, Verbeken E, De Leyn P, Liston A, Vansteenkiste J, Carmeliet P, Aerts S, Thienpont B.

Nat Med. 2018 Aug;24(8):1277-1289. doi: 10.1038/s41591-018-0096-5. Epub 2018 Jul 9.

PMID:
29988129
4.

A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain.

Davie K, Janssens J, Koldere D, De Waegeneer M, Pech U, Kreft Ł, Aibar S, Makhzami S, Christiaens V, Bravo González-Blas C, Poovathingal S, Hulselmans G, Spanier KI, Moerman T, Vanspauwen B, Geurs S, Voet T, Lammertyn J, Thienpont B, Liu S, Konstantinides N, Fiers M, Verstreken P, Aerts S.

Cell. 2018 Aug 9;174(4):982-998.e20. doi: 10.1016/j.cell.2018.05.057. Epub 2018 Jun 18.

5.

The transcription factor Grainy head primes epithelial enhancers for spatiotemporal activation by displacing nucleosomes.

Jacobs J, Atkins M, Davie K, Imrichova H, Romanelli L, Christiaens V, Hulselmans G, Potier D, Wouters J, Taskiran II, Paciello G, González-Blas CB, Koldere D, Aibar S, Halder G, Aerts S.

Nat Genet. 2018 Jul;50(7):1011-1020. doi: 10.1038/s41588-018-0140-x. Epub 2018 Jun 4.

6.

Mapping gene regulatory networks from single-cell omics data.

Fiers MWEJ, Minnoye L, Aibar S, Bravo González-Blas C, Kalender Atak Z, Aerts S.

Brief Funct Genomics. 2018 Jul 1;17(4):246-254. doi: 10.1093/bfgp/elx046. Review.

7.

SCENIC: single-cell regulatory network inference and clustering.

Aibar S, González-Blas CB, Moerman T, Huynh-Thu VA, Imrichova H, Hulselmans G, Rambow F, Marine JC, Geurts P, Aerts J, van den Oord J, Atak ZK, Wouters J, Aerts S.

Nat Methods. 2017 Nov;14(11):1083-1086. doi: 10.1038/nmeth.4463. Epub 2017 Oct 9.

8.

Comparative oncogenomics identifies tyrosine kinase FES as a tumor suppressor in melanoma.

Olvedy M, Tisserand JC, Luciani F, Boeckx B, Wouters J, Lopez S, Rambow F, Aibar S, Thienpont B, Barra J, Köhler C, Radaelli E, Tartare-Deckert S, Aerts S, Dubreuil P, van den Oord JJ, Lambrechts D, De Sepulveda P, Marine JC.

J Clin Invest. 2017 Jun 1;127(6):2310-2325. doi: 10.1172/JCI91291. Epub 2017 May 2.

9.

Identification of expression patterns in the progression of disease stages by integration of transcriptomic data.

Aibar S, Abaigar M, Campos-Laborie FJ, Sánchez-Santos JM, Hernandez-Rivas JM, De Las Rivas J.

BMC Bioinformatics. 2016 Nov 22;17(Suppl 15):432. doi: 10.1186/s12859-016-1290-4.

10.

Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd.

Wang Z, Monteiro CD, Jagodnik KM, Fernandez NF, Gundersen GW, Rouillard AD, Jenkins SL, Feldmann AS, Hu KS, McDermott MG, Duan Q, Clark NR, Jones MR, Kou Y, Goff T, Woodland H, Amaral FMR, Szeto GL, Fuchs O, Schüssler-Fiorenza Rose SM, Sharma S, Schwartz U, Bausela XB, Szymkiewicz M, Maroulis V, Salykin A, Barra CM, Kruth CD, Bongio NJ, Mathur V, Todoric RD, Rubin UE, Malatras A, Fulp CT, Galindo JA, Motiejunaite R, Jüschke C, Dishuck PC, Lahl K, Jafari M, Aibar S, Zaravinos A, Steenhuizen LH, Allison LR, Gamallo P, de Andres Segura F, Dae Devlin T, Pérez-García V, Ma'ayan A.

Nat Commun. 2016 Sep 26;7:12846. doi: 10.1038/ncomms12846.

11.

Identification of novel direct targets of Drosophila Sine oculis and Eyes absent by integration of genome-wide data sets.

Jin M, Aibar S, Ge Z, Chen R, Aerts S, Mardon G.

Dev Biol. 2016 Jul 1;415(1):157-167. doi: 10.1016/j.ydbio.2016.05.007. Epub 2016 May 10.

12.

Analyse multiple disease subtypes and build associated gene networks using genome-wide expression profiles.

Aibar S, Fontanillo C, Droste C, Roson-Burgo B, Campos-Laborie FJ, Hernandez-Rivas JM, De Las Rivas J.

BMC Genomics. 2015;16 Suppl 5:S3. doi: 10.1186/1471-2164-16-S5-S3. Epub 2015 May 26.

13.

Functional Gene Networks: R/Bioc package to generate and analyse gene networks derived from functional enrichment and clustering.

Aibar S, Fontanillo C, Droste C, De Las Rivas J.

Bioinformatics. 2015 May 15;31(10):1686-8. doi: 10.1093/bioinformatics/btu864. Epub 2015 Jan 18.

14.

Combined analysis of genome-wide expression and copy number profiles to identify key altered genomic regions in cancer.

Fontanillo C, Aibar S, Sanchez-Santos JM, De Las Rivas J.

BMC Genomics. 2012;13 Suppl 5:S5. doi: 10.1186/1471-2164-13-S5-S5. Epub 2012 Oct 19.

15.

Genome-wide profiling of methylation identifies novel targets with aberrant hypermethylation and reduced expression in low-risk myelodysplastic syndromes.

del Rey M, O'Hagan K, Dellett M, Aibar S, Colyer HA, Alonso ME, Díez-Campelo M, Armstrong RN, Sharpe DJ, Gutiérrez NC, García JL, De Las Rivas J, Mills KI, Hernández-Rivas JM.

Leukemia. 2013 Mar;27(3):610-8. doi: 10.1038/leu.2012.253. Epub 2012 Aug 31.

PMID:
22936014

Supplemental Content

Support Center