Gaofei Zhao
A5062775790- Cancer Genomics and Diagnostics
- Bioinformatics and Genomic Networks
- Genetics, Bioinformatics, and Biomedical Research
- Radiomics and Machine Learning in Medical Imaging
- Biomedical and Engineering Education
- Ferroptosis and cancer prognosis
- Gene expression and cancer classification
- Innovative Microfluidic and Catalytic Techniques Innovation
- RNA modifications and cancer
- Biotechnology and Related Fields
- Cryptography and Data Security
- Evaluation and Optimization Models
- Lung Cancer Diagnosis and Treatment
- Molecular Biology Techniques and Applications
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Lung Cancer Treatments and Mutations
- Coding theory and cryptography
- Evaluation Methods in Various Fields
- Advanced Decision-Making Techniques
- graph theory and CDMA systems
- Machine Learning in Healthcare
Memorial Sloan Kettering Cancer Center
2019-2025
Kettering University
2019-2025
Xidian University
2014
Abstract International cancer registries make real-world genomic and clinical data available, but their joint analysis remains a challenge. AACR Project GENIE, an international registry collecting from 19 centers, makes >130,000 patients publicly available through the cBioPortal for Cancer Genomics (https://genie.cbioportal.org). For 25,000 patients, additional longitudinal data, including treatment outcome are being collected by GENIE Biopharma Collaborative using PRISSMM curation...
The digitization of health records and growing availability tumour DNA sequencing provide an opportunity to study the determinants cancer outcomes with unprecedented richness. Patient data are often stored in unstructured text siloed datasets. Here we combine natural language processing annotations1,2 structured medication, patient-reported demographic, registry genomic from 24,950 patients at Memorial Sloan Kettering Cancer Center generate a clinicogenomic, harmonized oncologic real-world...
Abstract cBioPortal for Cancer Genomics is a widely used platform exploratory, interactive visualization and analysis of large-scale clinico-genomic datasets. provides range visualizations analyses including cohort exploration, OncoPrints, mutation “lollipop” plots, survival analysis, alteration enrichment detailed patient-level visualizations. also integrates variant annotations from variety sources to facilitate interpretation. The public (https://www.cbioportal.org) accessed by...
Abstract cBioPortal for Cancer Genomics is an open-source platform interactive, exploratory analysis of large-scale clinico-genomic data. provides a suite user-friendly visualizations and analyses, including OncoPrints, mutation lollipop plots, variant interpretation, group comparison, survival analysis, expression correlation alteration enrichment cohort patient-level visualization. The public site (https://www.cbioportal.org) accessed by >35,000 unique visitors each month hosts data...
In broadcast encryption system, traitor tracing is helpful to find out the traitors who give their decryption keys construct pirate decoders. Many codes based schemes were proposed. However, there no work that shows connections between attribute-based and revoking schemes. We describe a generic scheme, on cipher text-policy with expressive access policies consisted of multiple AND-gates OR-gates. Our method how embed collusion secure into selected scheme system. Each bit treated as an...
Abstract cBioPortal for Cancer Genomics is an open-source platform interactive, exploratory analysis of large-scale clinico-genomic data sets. provides a suite user-friendly visualizations and analyses, including OncoPrints, mutation “lollipop” plots, variant interpretation, group comparison, survival analysis, expression correlation alteration enrichment cohort patient-level visualization. The public site (https://www.cbioportal.org) accessed by >35,000 unique visitors each month...
<p>List of AACR Project GENIE Consortium Members</p>
Abstract The cBioPortal for Cancer Genomics is an open-source software platform that enables interactive, exploratory analysis of large-scale cancer genomics data sets with a user-friendly interface. It integrates genomic and clinical data, provides suite visualization options, including OncoPrint, mutation diagram, variant interpretation, survival analysis, expression correlation alteration enrichment cohort patient-level visualization, among others. public site (https://www.cbioportal.org)...
This paper expounds the basic principle of fuzzy clustering and grey T' s correlation degree method. It takes a power module used in communication device worked outfield as an example to analysis impacts natural environment factors on product, that based failure rate. Firstly, method is classify environmental into four categories. Secondly, compare rank influence types rate module. Finally, key affect are given. The influencing lays foundation for causes mechanism products, provides basis...
<p>List of AACR Project GENIE BPC Core Team Members</p>
<p>List of AACR Project GENIE BPC Core Team Members</p>
<div>Abstract<p>International cancer registries make real-world genomic and clinical data available, but their joint analysis remains a challenge. AACR Project GENIE, an international registry collecting from 19 centers, makes >130,000 patients publicly available through the cBioPortal for Cancer Genomics (<a href="https://genie.cbioportal.org" target="_blank">https://genie.cbioportal.org</a>). For 25,000 patients, additional longitudinal data, including treatment...
<p>List of AACR Project GENIE Consortium Members</p>
<div>Abstract<p>International cancer registries make real-world genomic and clinical data available, but their joint analysis remains a challenge. AACR Project GENIE, an international registry collecting from 19 centers, makes >130,000 patients publicly available through the cBioPortal for Cancer Genomics (<a href="https://genie.cbioportal.org" target="_blank">https://genie.cbioportal.org</a>). For 25,000 patients, additional longitudinal data, including treatment...
The cBioPortal for Cancer Genomics is an open-source software platform that enables interactive, exploratory analysis of large-scale cancer genomics data sets with a biologist-friendly interface. It integrates genomic and clinical data, provides suite visualization options, including OncoPrint, mutation diagram, variant interpretation, survival analysis, expression correlation alteration enrichment cohort patient-level visualization, among others.The public site (http://www.cbioportal.org)...
Abstract The cBioPortal for Cancer Genomics is an open-source software platform that enables interactive, exploratory analysis of large-scale cancer genomics data sets with a biologist-friendly interface. It integrates genomic and clinical data, provides suite visualization options, including OncoPrint, mutation diagram, variant interpretation, survival analysis, expression correlation alteration enrichment cohort patient-level visualization, among others. public site...
Abstract The cBioPortal for Cancer Genomics is an open-source software platform that enables interactive, exploratory analysis of large-scale cancer genomics data sets with a biologist-friendly interface. It integrates genomic and clinical data, provides suite visualization options, including OncoPrint, mutation diagram, variant interpretation, survival analysis, expression correlation alteration enrichment cohort patient-level visualization, among others. public site...
Abstract Although the majority of cancer genes show a high degree specificity for certain lineages, genomic profiling patients routinely identify alterations in that are atypical to presented type but canonical drivers different lineage. It is often unclear if these arose early tumorigenesis or were acquired during progression. A complete understanding lineage associated (LAGs) will enable better interpretation molecular etiology each diagnosed tumor. Here, we used cohort 38,912 across 122...
Abstract cBioPortal for Cancer Genomics is an open-source platform interactive, exploratory analysis of large-scale cancer genomics data sets. provides a user-friendly interface that integrates genomic and clinical data, suite visualizations analyses, including OncoPrints, mutation “lollipop” plots, variant interpretation, group comparison, survival analysis, expression correlation alteration enrichment cohort patient-level visualization. also external tools CIViC, Digital Slide Archive,...