Identification of novel molecular signatures of IgA nephropathy through an integrative -omics analysis [PDF]
, 2017 IgA nephropathy (IgAN) is the most prevalent among primary glomerular diseases worldwide. Although our understanding of IgAN has advanced significantly, its underlying biology and potential drug targets are still unexplored.
Cisek, Katryna +11 more
core +2 more sources
Clinical proteomics for precision medicine: the bladder cancer case [PDF]
, 2017 Precision medicine can improve patient management by guiding therapeutic decision based on molecular characteristics. The concept has been extensively addressed through the application of –omics based approaches.
Frantzi, Maria +4 more
core +1 more source
Depression and suicide risk prediction models using blood-derived multi-omics data [PDF]
, 2019 More than 300 million people worldwide experience depression; annually, ~800,000 people die by suicide. Unfortunately, conventional interview-based diagnosis is insufficient to accurately predict a psychiatric status. We developed machine learning models
Bhak, Jong +19 more
core +1 more source
Nanoinformatics: developing new computing applications for nanomedicine [PDF]
, 2012 Nanoinformatics has recently emerged to address the need of computing applications at the nano level. In this regard, the authors have participated in various initiatives to identify its concepts, foundations and challenges.
Alberto Anguita +58 more
core +7 more sources
Integration strategies of multi-omics data for machine learning analysis
Computational and Structural Biotechnology Journal, 2021 Increased availability of high-throughput technologies has generated an ever-growing number of omics data that seek to portray many different but complementary biological layers including genomics, epigenomics, transcriptomics, proteomics, and ...
Milan Picard +4 more
doaj +1 more source
Systems biology in animal sciences [PDF]
, 2011 Systems biology is a rapidly expanding field of research and is applied in a number of biological disciplines. In animal sciences, omics approaches are increasingly used, yielding vast amounts of data, but systems biology approaches to extract ...
Bannink, A. +4 more
core +3 more sources
MetaboTools: A comprehensive toolbox for analysis of genome-scale metabolic models [PDF]
, 2016 Metabolomic data sets provide a direct read-out of cellular phenotypes and are increasingly generated to study biological questions. Our previous work revealed the potential of analyzing extracellular metabolomic data in the context of the metabolic ...
Aurich, Maike K. +2 more
core +3 more sources
Network-based integration of multi-omics data for clinical outcome prediction in neuroblastoma
Scientific Reports, 2022 Multi-omics data are increasingly being gathered for investigations of complex diseases such as cancer. However, high dimensionality, small sample size, and heterogeneity of different omics types pose huge challenges to integrated analysis. In this paper,
Conghao Wang +4 more
doaj +1 more source
Updates in metabolomics tools and resources: 2014-2015 [PDF]
, 2016 Data processing and interpretation represent the most challenging and time-consuming steps in high-throughput metabolomic experiments, regardless of the analytical platforms (MS or NMR spectroscopy based) used for data acquisition.
Misra, Biswapriya B. +1 more
core +1 more source
A multivariate approach to the integration of multi-omics datasets [PDF]
, 2014 Background: To leverage the potential of multi-omics studies, exploratory data analysis methods that provide systematic integration and comparison of multiple layers of omics information are required.
Aedín C Culhane +4 more
core +2 more sources