Results 21 to 30 of about 3,539,790 (303)
Osteosarcoma Multi-Omics Landscape and Subtypes
Cancers, 2022 Osteosarcoma (OS) is the most common primary bone malignancy that exhibits remarkable histologic diversity and genetic heterogeneity. The complex nature of osteosarcoma has confounded precise molecular categorization, prognosis, and prediction for this disease. In this study, we performed a comprehensive multiplatform analysis on 86 osteosarcoma tumors,
Shan Tang +3 more
openaire +2 more sources
Multi-omics reveals mechanisms of resistance to potato root infection by Spongospora subterranea [PDF]
, 2022 The pathogen Spongospora subterranea infects potato roots and developing tubers resulting in tuber yield and quality losses. Currently, there are no fully effective treatments for disease control.
Wilson, Calum R. +4 more
core +1 more source
Editorial: Multi-omic data integration [PDF]
Frontiers in Cell and Developmental Biology, 2015 As researchers involved in molecular biology, we are witnessing tremendous paradigm changes in a time frame that becomes shorter and shorter. The epoch-making notion, originally put forward by the central dogma of biology (Crick, 1970), that there is a unidirectional process and a privileged level (genetic) of causality at which biological functions ...
Christine eNardini +3 more
openaire +5 more sources
BPDanek/multi-omics-pdd-FL-study: Public Release
, 2023 Federated Learning for multi-omics: a performance evaluation in Parkinson's disease by Benjamin Danek, Mary B.
Lee, Paul Suhwan +8 more
core +1 more source
X-omics workshop: data standards and multi-omics data integration - EGA DAC data standard
, 2020 Presentation given for X-omics online workshop series part 1 – "Data standards and multi-omics data integration", Thursday June 18th 2020, 10AM - 12PM CEST. This slide-set showcases the work of the Data Access Committee (DAC) from the LAB division of the
Jasmin K. Böhmer
core +1 more source
Multi-omics approaches to disease
Genome Biology, 2017 High-throughput technologies have revolutionized medical research. The advent of genotyping arrays enabled large-scale genome-wide association studies and methods for examining global transcript levels, which gave rise to the field of "integrative genetics".
Hasin, Yehudit +2 more
openaire +5 more sources
Prioritization of schizophrenia risk genes from GWAS results by integrating multi-omics data [PDF]
, 2021 Schizophrenia (SCZ) is a polygenic disease with a heritability approaching 80%. Over 100 SCZ-related loci have so far been identified by genome-wide association studies (GWAS). However, the risk genes associated with these loci often remain unknown.
Qi, Mengling +11 more
core +1 more source
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction
, 2021 Background: Genomic information is nowadays widely used for precise cancer treatments. Since the individual type of omics data only represents a single view that suffers from data noise and bias, multiple types of omics data are required for accurate ...
Rao, J +5 more
core +1 more source
Multi-Omics factor analysis - a framework for unsupervised integration of multi-omic data sets
Molecular Systems Biology, 2017 Abstract Multi-omic studies promise the improved characterization of biological processes across molecular layers. However, methods for the unsupervised integration of the resulting heterogeneous datasets are lacking.
Argelaguet, Ricard +8 more
openaire +7 more sources
Multi-omics technologies applied to tuberculosis drug discovery
, 2020 Multi-omics strategies are indispensable tools in the search for new anti-tuberculosis drugs. Omics methodologies, where the ensemble of a class of biological molecules are measured and evaluated together, enable drug discovery programs to answer two ...
Aaron Goff (16039727) +3 more
core +2 more sources