Identification of seven‐gene marker to predict the survival of patients with lung adenocarcinoma using integrated multi‐omics data analysis
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Clinical Laboratory Analysis"
DOI: 10.1002/jcla.24190
Abstract: The mechanism of cancer occurrence and development could be understood with multi‐omics data analysis. Discovering genetic markers is highly necessary for predicting clinical outcome of lung adenocarcinoma (LUAD). read more here.
Keywords: analysis; multi omics; data analysis; omics data ... See more keywords
Integration of Multi-omics Data for Expression Quantitative Trait Loci (eQTL) Analysis and eQTL Epistasis.
Sign Up to like & getrecommendations! Published in 2020 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-0026-9_11
Abstract: Expression quantitative trait loci (eQTL) mapping studies identify genetic loci that regulate gene expression. eQTL mapping studies can capture gene regulatory interactions and provide insight into the genetic mechanism of biological systems. Recently, the integration… read more here.
Keywords: loci; multi omics; omics data; eqtl ... See more keywords
Using MetaboAnalyst 4.0 for Metabolomics Data Analysis, Interpretation, and Integration with Other Omics Data.
Sign Up to like & getrecommendations! Published in 2020 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-0239-3_17
Abstract: MetaboAnalyst ( www.metaboanalyst.ca ) is an easy-to-use, comprehensive web-based tool, freely available for metabolomics data processing, statistical analysis, functional interpretation, as well as integration with other omics data. This chapter first provides an introductory overview… read more here.
Keywords: metabolomics data; metaboanalyst; analysis; omics data ... See more keywords
Machine Learning from Omics Data.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1787-8_18
Abstract: Machine learning (ML) already accelerates discoveries in many scientific fields and is the driver behind several new products. Recently, growing sample sizes enabled the use of ML approaches in larger omics studies. This work provides… read more here.
Keywords: machine; machine learning; omics data; model ... See more keywords
VANTED: A Tool for Integrative Visualization and Analysis of -Omics Data.
Sign Up to like & getrecommendations! Published in 2018 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-7411-5_18
Abstract: The investigation of biological systems from different perspectives leads, due to novel -omics technologies, to large-scale, heterogeneous, and complex datasets. To elucidate molecular programs that control biological systems growth and development the integration and analysis… read more here.
Keywords: integrative visualization; biology; analysis omics; omics data ... See more keywords
MOBCdb: a comprehensive database integrating multi-omics data on breast cancer for precision medicine
Sign Up to like & getrecommendations! Published in 2018 at "Breast Cancer Research and Treatment"
DOI: 10.1007/s10549-018-4708-z
Abstract: BackgroundBreast cancer is one of the most frequently diagnosed cancers among women worldwide, characterized by diverse biological heterogeneity. It is well known that complex and combined gene regulation of multi-omics is involved in the occurrence… read more here.
Keywords: medicine; multi omics; omics data; breast cancer ... See more keywords
Pathology in the era of "Personalized Medicine": The need to learn how to integrate multivariate immunohistochemical and "omics" data with clinicopathologic information in a clinically relevant way".
Sign Up to like & getrecommendations! Published in 2019 at "Annals of diagnostic pathology"
DOI: 10.1016/j.anndiagpath.2019.151410
Abstract: "Personalized medicine" has been proposed as a new paradigm for patient care that, based on the integration of genomics and other "omics" data with clinical and other multidisciplinary information, promises early disease detection, improved outcomes… read more here.
Keywords: medicine; information; pathology era; omics data ... See more keywords
Evaluation of Bunina et al.: Synthesizing Multi-omics Data to Delineate Neuronal Differentiation.
Sign Up to like & getrecommendations! Published in 2020 at "Cell systems"
DOI: 10.1016/j.cels.2020.06.002
Abstract: One snapshot of the peer review process for "Genomic rewiring of SOX2 chromatin interaction network during differentiation of ESCs to postmitotic neurons" (Bunina et al., 2020). read more here.
Keywords: evaluation bunina; multi omics; bunina synthesizing; synthesizing multi ... See more keywords
Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.103761
Abstract: Accurate diagnostic classification of cancers can greatly help physicians to choose surveillance and treatment strategies for patients. Following the explosive growth of huge amounts of biological data, the shift from traditional biostatistical methods to computer-aided… read more here.
Keywords: classification; multi omics; omics data; cancer ... See more keywords
Integrating multi-omics data to investigate pseudogene expression in Mycolicibacterium smegmatis.
Sign Up to like & getrecommendations! Published in 2020 at "Gene"
DOI: 10.1016/j.gene.2020.144908
Abstract: Large-scale -omics data now allows for investigating genome-wide functional elements. Using RNA-Seq data, we tested the expression of 134 pseudogenes which do not show duplicated protein coding genes in the M. smegmatis genome. We observe… read more here.
Keywords: multi omics; data investigate; omics data; integrating multi ... See more keywords
Transcriptional regulation in plants: Using omics data to crack the cis-regulatory code.
Sign Up to like & getrecommendations! Published in 2021 at "Current opinion in plant biology"
DOI: 10.1016/j.pbi.2021.102058
Abstract: Innovative omics technologies, advanced bioinformatics, and machine learning methods are rapidly becoming integral tools for plant functional genomics, with tremendous recent advances made in this field. In transcriptional regulation, an initial lag in the accumulation… read more here.
Keywords: plant; regulatory code; omics data; cis regulatory ... See more keywords