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Systems biology of kidney diseases
John Cijiang He
, Peter Y. Chuang
,
Avi Ma'Ayan
,
Ravi Iyengar
Icahn School of Medicine at Mount Sinai
Medicine
Medicine - Nephrology
Nephrology T32
Artificial Intelligence and Human Health
Cancer Clinical Investigation
Friedman Brain Institute
Genetics and Genomic Sciences
Graduate School of Biomedical Sciences
Icahn Genomics Institute
Mount Sinai Center for Bioinformatics
Mount Sinai Tisch Cancer Center
Pharmacological Sciences
Mount Sinai Institute for Systems Biomedicine
Research output
:
Contribution to journal
›
Review article
›
peer-review
76
Scopus citations
Overview
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Keyphrases
Kidney Disease
100%
Systems Biology
100%
Computational Modeling
40%
Kidney Failure
20%
Kidney Disease Progression
20%
Molecular Mechanism
20%
Renal Function
20%
Disease Progression
20%
Epigenome
20%
Biological Processes
20%
Clinical Significance
20%
Molecular Interactions
20%
Molecular Changes
20%
Metabolomics
20%
Cell Biology
20%
Transcriptome
20%
Disease Process
20%
Biological Significance
20%
Computational Analysis
20%
New Drug Targets
20%
Candidate Gene Approach
20%
Proteome
20%
Systems Biology Approach
20%
Molecular Cell
20%
Biotechnology
20%
Limited Value
20%
Large-scale Data
20%
Kidney Cells
20%
Renal Physiology
20%
Renal Pathology
20%
Marker Set
20%
Biochemistry, Genetics and Molecular Biology
Epigenome
100%
Candidate Gene
100%
Kidney Function
100%
Molecular Interaction
100%
Biological Phenomena and Functions Concerning the Entire Organism
100%
Metabolome
100%
Proteome
100%
Transcriptome
100%
Medicine and Dentistry
Kidney Disorder
100%
Renal Failure
16%
Kidney Function
16%
Disease Exacerbation
16%
Cytotechnology
16%
Biological Phenomena and Functions Concerning the Entire Organism
16%
Disease Process
16%
Transcriptome
16%
Kidney Cell
16%
Renal Physiology
16%
Renal Pathology
16%
Metabolome
16%
Diseases
16%
Proteome
16%
Pharmacology, Toxicology and Pharmaceutical Science
Kidney Disease
100%
Diseases
33%
Kidney Failure
16%
Disease Exacerbation
16%
Transcriptome
16%
Proteome
16%