about
Genome-wide Pathway Analysis Using Gene Expression Data of Colonic Mucosa in Patients with Inflammatory Bowel Disease.Regularized Least Squares Cancer classifiers from DNA microarray data.On the statistical assessment of classifiers using DNA microarray data.Promoter methylation correlates with reduced NDRG2 expression in advanced colon tumour.Statistical assessment of discriminative features for protein-coding and non coding cross-species conserved sequence elements.Comparative study of gene set enrichment methods.RS-SNP: a random-set method for genome-wide association studiesThe anti-fibrotic effect of mycophenolic acid-induced neutral endopeptidase.Karyopherins: potential biological elements involved in the delayed graft function in renal transplant recipients.Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets.Meta-Analysis of Differential Connectivity in Gene Co-Expression Networks in Multiple Sclerosis.Loss of connectivity in cancer co-expression networks.A comparative study of covariance selection models for the inference of gene regulatory networks.The expression of leucine-rich repeat gene family members in colorectal cancer.On the reproducibility of results of pathway analysis in genome-wide expression studies of colorectal cancers.Selection of relevant genes in cancer diagnosis based on their prediction accuracy.Regularized least squares classifiers may predict Crohn's disease from profiles of single nucleotide polymorphisms.Systematic analysis of circadian genes using genome-wide cDNA microarrays in the inflammatory bowel disease transcriptome.Activated innate immunity and the involvement of CX3CR1-fractalkine in promoting hematuria in patients with IgA nephropathy.Altered modulation of WNT-beta-catenin and PI3K/Akt pathways in IgA nephropathy.Discovering genetic variants in Crohn's disease by exploring genomic regions enriched of weak association signalsHT-RLS: High-Throughput Web Tool for Analysis of DNA Microarray Data Using RLS classifiersEstimating the statistical significance of classifiers by varying the number of genesDissecting the mucosal expression of human leucine-rich repeat family genes in inflammatory bowel disease patients
P50
Q30938527-B40E419F-AFC7-4FC1-9C0B-AF03BCB7041DQ31025924-A147F3D2-BFA4-45D0-B35B-516B9170D69EQ31055386-D8948957-4500-4EE2-9DAE-32C069648713Q33414418-9A1314D7-27C6-46EE-92FF-C05554E73848Q33469869-30C7595C-5CB0-4C5C-8245-2FA4F8144E73Q33499521-5D7E4375-0366-4FE8-8FAB-9AC1B28B28C0Q33857682-EA90B18E-A46E-4686-9875-A9FEEC966BC9Q34457205-5E3B2974-459F-4715-A129-C321F0651B4BQ35119530-EFD3DAFF-AC65-4E3E-957A-225211BD2379Q35694419-E3C3BFFA-2B20-4BDA-ABAA-E5C8762C69E6Q37050779-42836CDC-1BDC-4EA0-BADE-C8CD999F008AQ37525535-E4DA2626-074E-4C08-95DF-2CE926607A88Q42610349-47B3AB4F-16C7-4E3C-94EC-F89E906BD17DQ44039197-B166ED3B-2D76-47F3-98CB-11C6EF849EEEQ44694652-BC69E459-4CB6-4FDC-8F21-05C5EFCC7444Q48434421-1576FACB-BBFA-4696-8628-7DAD81D31A96Q51919956-94466F1C-FA49-416D-A866-6F8343ECCC96Q52931257-7B0EE6BF-688A-448B-AA29-37F6E28F17E3Q54310758-DCD22386-39FA-4283-B6DD-F872D18C0A0BQ54673171-EE9607EA-B98B-4CC9-BB7F-3DE3B01D07F6Q56906081-17AF9176-F370-471D-9ABC-4BB0B7A9812EQ57045269-F5096537-10FF-45A5-B3F4-019A858D9100Q57045338-F81FACEA-F6EF-4EE1-A9DB-2776232DDF2CQ57748241-8F351E61-7A1D-4BB4-830A-DAF1AC99620C
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Nicola Ancona
@ast
Nicola Ancona
@en
Nicola Ancona
@es
Nicola Ancona
@nl
type
label
Nicola Ancona
@ast
Nicola Ancona
@en
Nicola Ancona
@es
Nicola Ancona
@nl
prefLabel
Nicola Ancona
@ast
Nicola Ancona
@en
Nicola Ancona
@es
Nicola Ancona
@nl
P1053
E-9971-2013
P106
P1153
56417678400
6701714426
P21
P2456
P31
P496
0000-0003-0065-0321