about
Genome sequencing of SHH medulloblastoma predicts genotype-related response to smoothened inhibitionFunctional annotation and identification of candidate disease genes by computational analysis of normal tissue gene expression data.Prediction of human disease genes by human-mouse conserved coexpression analysis.Stem cell characteristics in glioblastoma are maintained by the ecto-nucleotidase E-NPP1.Network topology-based detection of differential gene regulation and regulatory switches in cell metabolism and signalingEvaluation of candidate genes from orphan FEB and GEFS+ loci by analysis of human brain gene expression atlasesCandidate gene prioritization based on spatially mapped gene expression: an application to XLMREpigenomic alterations define lethal CIMP-positive ependymomas of infancyBCAT1 promotes cell proliferation through amino acid catabolism in gliomas carrying wild-type IDH1.Computational approaches to disease-gene prediction: rationale, classification and successes.Network medicine: linking disorders.Generation of functional hepatocytes from mouse germ line cell-derived pluripotent stem cells in vitro.Molecular Transition of an Adult Low-Grade Brain Tumor to an Atypical Teratoid/Rhabdoid Tumor Over a Time-Course of 14 Years.No correlation between NF1 mutation position and risk of optic pathway glioma in 77 unrelated NF1 patients.Secretory meningiomas are defined by combined KLF4 K409Q and TRAF7 mutations.Disease-gene discovery by integration of 3D gene expression and transcription factor binding affinities.Meningeal hemangiopericytoma and solitary fibrous tumors carry the NAB2-STAT6 fusion and can be diagnosed by nuclear expression of STAT6 protein.Whole exome sequencing reveals that the majority of schwannomatosis cases remain unexplained after excluding SMARCB1 and LZTR1 germline variantsTracing Resource Usage over Heterogeneous Grid Platforms: A Prototype RUS Interface for DGASdecompTumor2Sig: identification of mutational signatures active in individual tumorsNetwork-Based Methods and Other Approaches for Predicting lncRNA Functions and Disease Associations
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P50
description
hulumtuese
@sq
researcher
@en
ricercatrice
@it
wetenschapper
@nl
հետազոտող
@hy
name
Rosario M Piro
@nl
Rosario M Piro
@sl
Rosario M. Piro
@en
Rosario M. Piro
@es
type
label
Rosario M Piro
@nl
Rosario M Piro
@sl
Rosario M. Piro
@en
Rosario M. Piro
@es
prefLabel
Rosario M Piro
@nl
Rosario M Piro
@sl
Rosario M. Piro
@en
Rosario M. Piro
@es
P106
P1153
23996272600
P21
P214
2128152331600103260002
P2456
P31
P496
0000-0002-3066-7397
P735
P7859
lccn-n2017183647