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Dissecting the transcriptome in cardiovascular disease
E L Robinson
, A H Baker
, M Brittan
, I McCracken
, G Condorelli
, C Emanueli
, K P Srivastava
, C Gaetano
, T Thum
, M Vanhaverbeke
,
C Angione
, S Heymans
, Y Devaux
, T Pedrazzini
, F Martelli
Centre for Digital Innovation
Department of Computing & Games
Research output
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Contribution to journal
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Article
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peer-review
199
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Keyphrases
Cardiovascular Disease
100%
Transcriptome
100%
Non-coding RNA (ncRNA)
75%
Knowledge Gaps
25%
Protein-coding Genes
25%
Biological Function
25%
Homeostasis
25%
Complex Networks
25%
Therapeutic Strategies
25%
Cardiovascular System
25%
Type-specific
25%
RNA Detection
25%
Unmet
25%
Non-protein
25%
Lack of Consensus
25%
Spatial Expression Pattern
25%
Non-coding
25%
Cellular Distribution
25%
Human Transcriptome
25%
Temporal Expression Pattern
25%
Cardiovascular Physiology
25%
Standardized Method
25%
RNA Processing
25%
Non-coding Genome
25%
Differentiation State
25%
Pathological State
25%
Non-coding Transcription
25%
Biochemistry, Genetics and Molecular Biology
Transcriptome
100%
Non-Coding RNA
75%
Biological Functions
25%
Homeostasis
25%
Subcellular Localization
25%
Cardiovascular Function
25%
RNA Processing
25%
Immunology and Microbiology
Transcriptome
100%
Biological Functions
25%
Cellular Distribution
25%
Homeostasis
25%
Cardiovascular Function
25%
RNA Processing
25%
Cardiovascular System
25%