grant

Core C: Biostatistics and Bioinformatics Core

Organization UNIVERSITY OF PITTSBURGH AT PITTSBURGHLocation PITTSBURGH, UNITED STATESPosted 1 Jul 2004Deadline 31 Aug 2027
NIHUS FederalResearch GrantFY2025After CareAfter-TreatmentAftercareAnimalsApplications GrantsBayesian learningBayesian machine learningBioinformaticsBioinformatics coreBioinformatics research coreBioinformatics resource coreBiologicalBiometricsBiometryBiostatisticsBiostatistics CoreCancer CenterCancersClinicClinicalClinical Cancer CenterClinical DataClinical ProtocolsClinical ResearchClinical StudyComputer AnalysisDataData AnalysesData AnalysisDevelopmentExperimental DesignsGenomicsGoalsGrant ProposalsHNSCCHead and Neck CancerHead and Neck CarcinomaHead and Neck Squamous Cell CarcinomaImmunochemical ImmunologicImmunohistochemistryImmunohistochemistry Cell/TissueImmunohistochemistry Staining MethodImmunologicImmunologicalImmunologicallyImmunologicsIn VitroIndividualInvestigatorsLaboratoriesMachine LearningMalignant Head and Neck NeoplasmMalignant NeoplasmsMalignant Skin NeoplasmMalignant TumorManuscriptsMethodsNaturePatientsPreparationProgram DevelopmentProtocolProtocols documentationQuality ControlR-Series Research ProjectsR01 MechanismR01 ProgramReportingReproducibilityReproduction sporesResearchResearch DesignResearch GrantsResearch PersonnelResearch Project GrantsResearch ProjectsResearch SpecimenResearchersResource SharingSCCHNServicesSkin CancerSpecimenSporesStudy TypeTechniquesTranslational ResearchTranslational ScienceVisualizationWorkWritinganti-cancer researchbiologiccancer researchcareer developmentcompare effectivenesscomputational analysescomputational analysiscomputer analysesdata interpretationdata managementdata qualitydata quality/integritydata sharingdesigndesigningdevelopmentalexperienceexperimentexperimental researchexperimental studyexperimentshead and neck squamous carcinomahead and neck squamous cell cancerhead/neck cancerhigh dimensional datain vivoinnovateinnovationinnovativemachine based learningmalignancymalignant head and neck tumormalignant skin tumormembermultidimensional datamultidimensional datasetsneoplasm/cancerpost treatmentpreparationsstemstudy designtranslation researchtranslational investigationtranslational study
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Full Description

PROJECT SUMMARY – BIOSTATISTICS/BIOINFORMATICS CORE (CORE C)
The Biostatistics/Bioinformatics Core (Core C) of the Hillman Cancer Center (HCC) HN SPORE provides

services for the design of experiments and the analysis of in vitro, in vivo, clinical, translational and -omics

data. The investigators and staff of both segments of the Core have significant experience in research in head

and neck cancers, so that data are analyzed in the appropriate scientific context, increasing the Core's

efficiency and effectiveness compared to general purpose data analysis services. Biostatistics and

Bioinformatics combines classic statistical techniques with contemporary Bayesian, machine learning and

genomics methods to ensure that every research project, Developmental Research Program and Career

Development Program awardee in the SPORE has access to the most appropriate analyses. The Core will

also work closely with Core A (OSD) and Core B to ensure that data flows between laboratories, clinics and

analysts are efficient and that data and resource sharing can be effective and comprehensive.

This Core C Co-Directors are Dr. Daniel Normolle (Biostatistics) and Dr. Riyue Bao (Bioinformatics) who

have assembled an excellent team to help achieve the goals of the HN SPORE.

Grant Number: 5P50CA097190-19
NIH Institute/Center: NIH

Principal Investigator: Riyue Bao

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