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Integration of Proteomics and Other Omics Data
2021In recent biomedical studies, multidimensional profiling, which collects proteomics as well as other types of omics data on the same subjects, is getting increasingly popular. Proteomics, transcriptomics, genomics, epigenomics, and other types of data contain overlapping as well as independent information, which suggests the possibility of integrating ...
Mengyun, Wu, Yu, Jiang, Shuangge, Ma
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Integration of multiple heterogeneous omics data
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016Integration of different genomic profiles is challenging to understand complex diseases in a multi-view manner. Computational method is needed to preserve useful information of data types as well as correct bias. Thus, we proposed a novel framework pattern fusion analysis (PFA), to fuse the local sample patterns into a global pattern of patients with ...
Chuanchao Zhang +5 more
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2015
In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays.
George Tseng +2 more
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In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays.
George Tseng +2 more
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Integrative Analysis of Omics Big Data
2018The diversity and huge omics data take biology and biomedicine research and application into a big data era, just like that popular in human society a decade ago. They are opening a new challenge from horizontal data ensemble (e.g., the similar types of data collected from different labs or companies) to vertical data ensemble (e.g., the different ...
Xiang-Tian, Yu, Tao, Zeng
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Integrating Omic Technologies in Alzheimer’s Disease
2017Scientific advances in biomedical disciplines have allowed us to identify the underlying causes of many diseases with increased comprehension-leading the way towards precision medicine. In this context, unique disease and medical traits pave the way for the development of adapted disease management, drugs and therapies tailored to each patient. Bearing
Antigoni, Avramouli +1 more
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Multi-omics integration in disease research
Neurodegenerative diseases, marked by complex molecular mechanisms and diverse clinical features, challenge conventional research approaches. This chapter emphasizes the value of multi-omics integration in understanding the biology of Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis (ALS). Genomic studies reveal risk variantsMichael Warren Gonzales, Ceballos +3 more
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Integrative Multi-Omics Through Bioinformatics
2018This chapter introduces different aspects of bioinformatics with a brief discussion in the systems biology context. Example applications in network pharmacology of traditional Chinese medicine, systems metabolic engineering, and plant genome-scale modelling are described.
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Survey on Multi-omics, and Multi-omics Data Analysis, Integration and Application
Current Pharmaceutical Analysis, 2023Wenli Sun, Mohamad Hesam Shahrajabian
exaly
Multimodal deep learning approaches for single-cell multi-omics data integration
Briefings in Bioinformatics, 2023Xiaoman Li, Haiyan Hu, Li Xiaoman
exaly