about
Microarray experiments and factors which affect their reliabilityCross talk between cytokine and hyperthermia-induced pathways: identification of different subsets of NF-κB-dependent genes regulated by TNFα and heat shock.Gene signature of the post-Chernobyl papillary thyroid cancerSources of high variance between probe signals in Affymetrix short oligonucleotide microarrays.MicroRNAs and reactive oxygen species: are they in the same regulatory circuit?Cell-cycle gene expression analysis using real time PCR in locally advanced squamous-cell head and neck cancer.Proteome profiles of different types of thyroid cancers.Replication Stress Leading to Apoptosis within the S-phase Contributes to Synergism between Vorinostat and AZD1775 in HNSCC Harboring High-Risk TP53 Mutation.Identification of Endogenous Control miRNAs for RT-qPCR in T-Cell Acute Lymphoblastic LeukemiaTranscriptomic population markers for human population discriminationA mathematical model as a tool to identify microRNAs with highest impact on transcriptome changesComprehensive Investigation of miRNome Identifies Novel Candidate miRNA-mRNA Interactions Implicated in T-Cell Acute Lymphoblastic LeukemiaThe distribution of GC nucleotides and regulatory sequence motifs in genes and their adjacent sequencesGaMRed-Adaptive Filtering of High-Throughput Biological DataPTEN abnormalities predict poor outcome in children with T-cell acute lymphoblastic leukemia treated according to ALL IC-BFM protocols
P50
Q26786123-23C29CEE-87CB-4A43-B5BD-F2C6D7EB6529Q36621573-3FE3F7A8-D7CB-43C4-8A5E-B61FCDE3F7BEQ36908328-F210956C-97EF-4A4F-A197-90C6A92E1849Q37588638-9213D7CA-9444-4E47-8068-0A46BEFA7BD7Q39093962-33EA151A-BEF2-4C2E-8310-BF28B507D96AQ40691143-8682BB2C-6448-447F-B95A-B98776498EA3Q47355220-46E2C077-B7F6-4B7F-83A4-2DB921E61854Q48698494-E14454D1-25F9-4D04-9CF7-5CBA00EC26BDQ57210049-F35E688A-9485-4921-B799-E216A38A8A6FQ58797706-D656F825-39AD-4B3D-A4D4-B327D24551F8Q61798410-047AD6B2-5D5A-4233-97E7-1A5D1B002362Q64238834-DD201192-7EDA-4222-A231-241ACF412B65Q82598967-75D085D3-7447-421C-A89C-390E36D549C6Q90441653-13C51166-0F18-4AD8-9918-EC47F0E72F72Q90916702-B168C1D0-8AD7-41DF-A2A1-76AE70FCA691
P50
description
investigador
@es
onderzoeker
@nl
researcher
@en
name
Roman Jaksik
@ast
Roman Jaksik
@en
Roman Jaksik
@es
Roman Jaksik
@nl
type
label
Roman Jaksik
@ast
Roman Jaksik
@en
Roman Jaksik
@es
Roman Jaksik
@nl
prefLabel
Roman Jaksik
@ast
Roman Jaksik
@en
Roman Jaksik
@es
Roman Jaksik
@nl
P106
P1153
30767654400
P2456
P31
P496
0000-0003-1866-6380