Romualdi Lab
Romualdi Lab
Home
Research
People
Software
Publications
Contact & Join
Light
Dark
Automatic
E. Calura
Latest
A comprehensive investigation of histotype-specific microRNA and their variants in Stage I epithelial ovarian cancers
Copy number alterations in stage I epithelial ovarian cancer highlight three genomic patterns associated with prognosis
miRNA bioinformatics and pathway analysis
Regional and temporal heterogeneity of epithelial ovarian cancer tumor biopsies: implications for therapeutic strategies
Editorial: Multi-omic Data Integration in Oncology
Expression profiles of PRKG1, SDF2L1 and PPP1R12A are predictive and prognostic factors for therapy response and survival in high-grade serous ovarian cancer
Individual Radiosensitivity in Oncological Patients: Linking Adverse Normal Tissue Reactions and Genetic Features
Meta Graphite-a new layer of pathway annotation to get metabolite networks
MOSClip: multi-omic and survival pathway analysis for the identification of survival associated gene and modules
Multisite analysis of high-grade serous epithelial ovarian cancers identifies genomic regions of focal and recurrent copy number alteration in 3q26.2 and 8q24.3
Transcriptional characterization of stage i epithelial ovarian cancer: A multicentric study
Transcriptome profiles of human visceral adipocytes in obesity and colorectal cancer unravel the effects of body mass index and polyunsaturated fatty acids on genes and biological process related to tumorigenesis
Circulating miRNA landscape identifies miR-1246 as promising diagnostic biomarker in high-grade serous ovarian carcinoma: A validation across two independent cohorts
KrillDB: A de novo transcriptome database for the Antarctic krill (Euphausia superba)
LncRNAs as novel indicators of patients' prognosis in stage i epithelial ovarian cancer: A retrospective and multicentric study
A data-driven network model of primary myelofibrosis: Transcriptional and post-transcriptional alterations in CD34+ cells
A prognostic regulatory pathway in stage I epithelial ovarian cancer: New hints for the poor prognosis assessment
Disentangling the microRNA regulatory milieu in multiple myeloma: Integrative genomics analysis outlines mixed miRNATF circuits and pathway-derived networks modulated in t(4;14) patients
Profiling cancer gene mutations in longitudinal epithelial ovarian cancer biopsies by targeted next-generation sequencing: A retrospective study
Analysis of differential miRNA expression in primary tumor and stroma of colorectal cancer patients
Integration analysis of MicroRNA and mRNA expression profiles in human peripheral blood lymphocytes cultured in modeled microgravity
TimeClip: Pathway analysis for time course data without replicates
Wiring miRNAs to pathways: A topological approach to integrate miRNA and mRNA expression profiles
Graphite Web: Web tool for gene set analysis exploiting pathway topology.
MiRNA landscape in stage i epithelial ovarian cancer defines the histotype specificities
Systems biology approach to the dissection of the complexity of regulatory networks in the S. scrofa cardiocirculatory system
A systems biology approach to characterize the regulatory networks leading to trabectedin resistance in an in vitro model of myxoid liposarcoma
Graphite - a Bioconductor package to convert pathway topology to gene network
Association between miR-200c and the survival of patients with stage I epithelial ovarian cancer: A retrospective study of two independent tumour tissue collections
The biological Connection Markup Language: A SBGN-compliant format for visualization, filtering and analysis of biological pathways
Filling gaps in PPAR-alpha signaling through comparative nutrigenomics analysis
Meta-analysis of expression signatures of muscle atrophy: Gene interaction networks in early and late stages
Cite
×