2019 - Fellow of the American Statistical Association (ASA)
Bioinformatics, Proteomics, Computational biology, Proteome and Breast cancer are his primary areas of study. As part of the same scientific family, Pei Wang usually focuses on Bioinformatics, concentrating on Gene dosage and intersecting with Cancer research, Gene expression profiling, Carcinogenesis and Prostate cancer. His Mass spectrometry data format study, which is part of a larger body of work in Proteomics, is frequently linked to Suite, bridging the gap between disciplines.
His Computational biology study integrates concerns from other disciplines, such as Biomarker, Proteogenomics, Microarray cgh and Chromosome Arm. He interconnects Epidermal growth factor receptor, Gene, Somatic cell, Tyrosine kinase and Proto-oncogene tyrosine-protein kinase Src in the investigation of issues within Breast cancer. His work on RNA as part of general Gene study is frequently linked to Amplicon, therefore connecting diverse disciplines of science.
His main research concerns Computational biology, Gene, Proteomics, Bioinformatics and Internal medicine. His research investigates the connection with Computational biology and areas like Multivariate statistics which intersect with concerns in Regression analysis. His Gene research integrates issues from Breast cancer and Cancer research.
His work carried out in the field of Proteomics brings together such families of science as Proteome, Proteogenomics and Data mining. His Bioinformatics research is multidisciplinary, incorporating perspectives in Biomarker, Targeted proteomics, Genotype and Biomarker discovery. His biological study spans a wide range of topics, including Gene dosage and Comparative genomic hybridization.
Pei Wang spends much of his time researching Internal medicine, Proteomics, Proteogenomics, Computational biology and Cancer research. His Internal medicine research includes elements of Gastroenterology and Oncology. His Proteomics study combines topics from a wide range of disciplines, such as Algorithm and Data set.
His Proteogenomics study integrates concerns from other disciplines, such as Clustering high-dimensional data, Histone and Missing data, Imputation. Pei Wang studied Computational biology and Gene that intersect with Cell type. His work deals with themes such as Immune checkpoint, Immunotherapy, Cell, Proteogenomic Characterization and Lung, which intersect with Cancer research.
Pei Wang mainly investigates Proteomics, Proteogenomics, Computational biology, Phosphoproteomics and Gastroenterology. Pei Wang has included themes like Cancer and Cancer research in his Proteomics study. His Cancer research research is multidisciplinary, incorporating elements of Immune checkpoint, Immunotherapy, Cell, Cyclin-dependent kinase and Head and neck squamous-cell carcinoma.
His studies deal with areas such as Genomics, KRAS, Gene, Causal model and Gene regulatory network as well as Computational biology. Many of his studies involve connections with topics such as Neuropathology and Gene. His studies in Gastroenterology integrate themes in fields like Inflammatory bowel disease and Internal medicine, Biopsy, Cohort, Clinical significance.
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