5 Cardio-oncology: Network-Based Prediction …
97
109. Szklarczyk D, Morris JH, Cook H, Kuhn M, Wyder S, Simonovic M et al (2017) The
STRING database in 2017, quality-controlled protein-protein association networks, made
broadly accessible. Nucleic Acids Res 45(D1):D362–D368
110. Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D et al (2003) Cytoscape, a
software environment for integrated models of biomolecular interaction networks. Genome
Res 13(11):2498–2504
111. Bastian M, Heymann S, Jacomy M (2009) Gephi, an open source software for exploring and
manipulating networks. In: International AAAI conference on web and social media, North
America. Available at, https://www.aaai.org/ocs/index.php/ICWSM/09/paper/view/154
Feixiong Cheng, Ph.D. is a principal investigator with Cleveland Clinic’s Genomic Medicine
Institute. Dr. Cheng is a computational biologist by training, with expertise in analyzing, visualizing, and mining data from real world (e.g., electronic health records, and health care claims)
and experiments that profile the molecular state of human cells and tissues by interactomics, transcriptomics, genomics, proteomics, and metabolomics for drug discovery and precise patient care.
Dr. Cheng is working to develop computational and experimental network medicine technologies
for advancing the characterization of disease heterogeneity, thereby approaching the goal of coordinated, patient-centered strategies to innovative diagnostics and therapeutics development. The
primary goal of Dr. Cheng’s lab is to combine tools from genomics, network medicine, bioinformatics, computational biology, chemical biology, and experimental pharmacology and systems
biology assays (e.g., single-cell sequencing), to address the challenging questions toward understanding of various human complex diseases (e.g., cardio-oncology, pulmonary vascular diseases,
and cancer), which could have a major impact in identifying novel real-world data-driven diagnostic biomarkers and therapeutic targets for precision medicine.
97
109. Szklarczyk D, Morris JH, Cook H, Kuhn M, Wyder S, Simonovic M et al (2017) The
STRING database in 2017, quality-controlled protein-protein association networks, made
broadly accessible. Nucleic Acids Res 45(D1):D362–D368
110. Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D et al (2003) Cytoscape, a
software environment for integrated models of biomolecular interaction networks. Genome
Res 13(11):2498–2504
111. Bastian M, Heymann S, Jacomy M (2009) Gephi, an open source software for exploring and
manipulating networks. In: International AAAI conference on web and social media, North
America. Available at, https://www.aaai.org/ocs/index.php/ICWSM/09/paper/view/154
Feixiong Cheng, Ph.D. is a principal investigator with Cleveland Clinic’s Genomic Medicine
Institute. Dr. Cheng is a computational biologist by training, with expertise in analyzing, visualizing, and mining data from real world (e.g., electronic health records, and health care claims)
and experiments that profile the molecular state of human cells and tissues by interactomics, transcriptomics, genomics, proteomics, and metabolomics for drug discovery and precise patient care.
Dr. Cheng is working to develop computational and experimental network medicine technologies
for advancing the characterization of disease heterogeneity, thereby approaching the goal of coordinated, patient-centered strategies to innovative diagnostics and therapeutics development. The
primary goal of Dr. Cheng’s lab is to combine tools from genomics, network medicine, bioinformatics, computational biology, chemical biology, and experimental pharmacology and systems
biology assays (e.g., single-cell sequencing), to address the challenging questions toward understanding of various human complex diseases (e.g., cardio-oncology, pulmonary vascular diseases,
and cancer), which could have a major impact in identifying novel real-world data-driven diagnostic biomarkers and therapeutic targets for precision medicine.