The INTEGRATE project
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB62473 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The mission of expO is to build on the technologies and outcomes of the Human Genome Project to accelerate improved clinical management of cancer patients. IGC's Expression Project for Oncology (expO) seeks to integrate longitudinal clinical annotation with gene expression data for a unique and powerful portrait of human malignancies, providing critical perspective on diagnostic markers, prognostic indicators, and therapeutic targets. The goal of expO and its consortium supporters is to procure tissue samples under standard conditions and perform gene expression analyses on a clinically annotated set of deidentified tumor samples. The tumor data is updated with clinical outcomes and is released into the public domain without intellectual property restriction. Series-matrices are available at ftp://ftp.ncbi.nlm.nih.gov/pub/geo/DATA/SeriesMatrix/GSE2109/. For more information, see http://www.intgen.org/ Keywords: cancer portraits
2005-01-15 | GSE2109 | GEO
Project description:Integrate multi-omics analysis of LINC01767 in HCC
| PRJNA1017899 | ENA
Project description:The mission of expO is to build on the technologies and outcomes of the Human Genome Project to accelerate improved clinical management of cancer patients. IGC's Expression Project for Oncology (expO) seeks to integrate longitudinal clinical annotation with gene expression data for a unique and powerful portrait of human malignancies, providing critical perspective on diagnostic markers, prognostic indicators, and therapeutic targets. The goal of expO and its consortium supporters is to procure tissue samples under standard conditions and perform gene expression analyses on a clinically annotated set of deidentified tumor samples. The tumor data is updated with clinical outcomes and is released into the public domain without intellectual property restriction. Series-matrices are available at ftp://ftp.ncbi.nlm.nih.gov/pub/geo/DATA/SeriesMatrix/GSE2109/. For more information, see http://www.intgen.org/ Keywords: cancer portraits
2005-01-15 | E-GEOD-2109 | biostudies-arrayexpress
Project description:Feeding Neurons Integrate Metabolic and Reproductive States in Mice
| PRJNA930400 | ENA
Project description:Introduction:Integrated care implies sustained change in complex systems and progress is not always linear or easy to assess. The Central Coast integrated Care Program (CCICP) was planned as a ten-year place-based system change. This paper reports the first formative evaluation to provide a detailed description of the implementation of the CCICP, after two years of activity, and the current progress towards integrated care. Theory and Methods:Progress towards integrated care achieved by the CCICP was evaluated using the Project INTEGRATE Framework data in a mixed methods approach included semi-structured interviews (n = 23) and Project INTEGRATE Framework based surveys (n = 27). All data collected involved key stakeholders, with close involvement in the program, self-reporting. Results:Progress has been mixed. Gains had most clearly been made in the areas of clinical and professional integration; specifically, relationship building and improved collaboration and cooperation between service providers. The areas of systemic and functional integration were least improved with funding uncertainty being an ongoing significant problem. The evaluation also showed that the Project INTEGRATE framework provided a consistent language for CCICP partners and for evaluators and consistent indicators of progress. The framework also helped to identify key facilitators and barriers. Discussion and Conclusion:The findings highlight the willingness and commitment of key staff but also the importance of leadership, good communication, relationship building, and cultural transformation.
| S-EPMC6588025 | biostudies-other
Project description:This article provides an overview of a study that synthesizes multiple, independently collected alcohol intervention studies for college students into a single, multisite longitudinal data set. This research embraced innovative analytic strategies (i.e., integrative data analysis or meta-analysis using individual participant-level data), with the overall goal of answering research questions that are difficult to address in individual studies such as moderation analysis, while providing a built-in replication for the reported efficacy of brief motivational interventions for college students. Data were pooled across 24 intervention studies, of which 21 included a comparison or control condition and all included one or more treatment conditions. This yielded a sample of 12,630 participants (42% men; 58% first-year or incoming students). The majority of the sample identified as White (74%), with 12% Asian, 7% Hispanic, 2% Black, and 5% other/mixed ethnic groups. Participants were assessed 2 or more times from baseline up to 12 months, with varying assessment schedules across studies. This article describes how we combined individual participant-level data from multiple studies, and discusses the steps taken to develop commensurate measures across studies via harmonization and newly developed Markov chain Monte Carlo (MCMC) algorithms for 2-parameter logistic item response theory models and a generalized partial credit model. This innovative approach has intriguing promises, but significant barriers exist. To lower the barriers, there is a need to increase overlap in measures and timing of follow-up assessments across studies, better define treatment and control groups, and improve transparency and documentation in future single intervention studies.
| S-EPMC4388772 | biostudies-literature
Project description:This project analyzes peripheral blood profiles of controls and patients of 14 different diseases, all collected, measured, and analyzed using exactly the same SoP. Since miRNAs are known to be valuable diagnostic markers we asked whether respective patterns of patients can be detected in peripheral blood samples rather than in biopsies. The project aimed at an impoved understanding of complex profiles rather than single markers. Thus, a high-throughput technique was necessary, profiling all known miRNAs integratively and combining different diseases to achieve a high degree of specificity.
2011-09-05 | GSE31568 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE36950: SNP array for CNV calling AUTS2 project [Affymetrix] GSE37141: Oligo array for CNV calling AUTS2 project [Agilent] GSE37142: SNP array for CNV calling AUTS2 project [Illumina] GSE37654: Oligo array for calling CNV's for AUTS2 project [NimbleGen] GSE37656: Oligo array for CNV calling AUTS2 project [Bluegnome] Refer to individual Series
2012-07-11 | E-GEOD-37657 | biostudies-arrayexpress
Project description:MPSS mouse transcriptome analysis project. See http://www.ncbi.nlm.nih.gov/geo/info/mouse-trans.html for more details. Keywords: other
2004-10-26 | GSE1581 | GEO
Project description:This set of metaproteomics data of the Gemran cockroach hindgut community and the host has been used to validate the gNOMO pipeline. This pipeline is designed to integrate multiple meta-omics data of non-model organisms.
2021-09-09 | PXD018642 | Pride