Zemin Zhang mostly deals with Genetics, Computational biology, Cancer, Bioinformatics and Gene. His research investigates the link between Computational biology and topics such as Upload that cross with problems in Gene expression profiling. The study incorporates disciplines such as Germline mutation, Cancer research, Autocrine signalling, Paracrine signalling and Hepatocyte growth factor in addition to Cancer.
His study in Bioinformatics is interdisciplinary in nature, drawing from both Expressed sequence tag, Protein sequencing, Membrane protein and Signal peptide. His Gene expression research includes elements of Gene duplication, Molecular biology, Exome and Cell growth. His Genomics research is multidisciplinary, relying on both Big data, End user, Data science and Profiling.
Zemin Zhang mainly focuses on Genetics, Gene, Cancer research, Cancer and Computational biology. Genome, Transcriptome, Gene expression, RNA and Gene expression profiling are the primary areas of interest in his Gene study. Zemin Zhang has researched Cancer research in several fields, including T cell, CD8, Immune system and Antigen.
His CD8 study combines topics in areas such as Single cell sequencing and Cell biology. The concepts of his Cancer study are interwoven with issues in Allele, Germline and Somatic cell. In his research, Signal peptide is intimately related to Bioinformatics, which falls under the overarching field of Computational biology.
Zemin Zhang mainly investigates Cancer research, Cell, Gene, Transcriptome and Immune system. His Cancer research research includes themes of T cell, Transcription factor, CD8 and Cell growth. Gene is a subfield of Genetics that Zemin Zhang tackles.
His studies deal with areas such as Cancer cell and Liver cancer, Hepatocellular carcinoma as well as Transcriptome. His work deals with themes such as Myeloid, Cancer and Cytokine, which intersect with Immune system. His Computational biology research is multidisciplinary, incorporating perspectives in Web server, Sequencing data, Germline and Genomics.
His main research concerns Cancer research, Transcriptome, Immune system, Downregulation and upregulation and Computational biology. Zemin Zhang has included themes like Cell and Cancer immunotherapy in his Cancer research study. Genetics and Gene are all intrinsically tied to his study in Transcriptome.
His Immune system study integrates concerns from other disciplines, such as Myeloid and Cell type. Zemin Zhang interconnects Lipogenesis, Knockout mouse, Cell growth and Fatty acid synthase in the investigation of issues within Downregulation and upregulation. His studies in Computational biology integrate themes in fields like Sequencing data, Phylogenetic tree, RNA, Cellular heterogeneity and Coding region.
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GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses.
Zefang Tang;Chenwei Li;Boxi Kang;Ge Gao.
Nucleic Acids Research (2017)
Pan-cancer analysis of whole genomes
Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart.
Secreted and Transmembrane Polypeptides and Nucleic Acids Encoding the Same
Kevin P. Baker;Maureen Beresini;Laura DeForge;Luc Desnoyers.
Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing
Chunhong Zheng;Liangtao Zheng;Jae-Kwang Yoo;Huahu Guo.
Diverse somatic mutation patterns and pathway alterations in human cancers
Zhengyan Kan;Bijay S. Jaiswal;Jeremy Stinson;Vasantharajan Janakiraman.
Recurrent R-spondin fusions in colon cancer
Somasekar Seshagiri;Eric W. Stawiski;Steffen Durinck;Zora Modrusan.
Comprehensive genomic analysis identifies SOX2 as a frequently amplified gene in small-cell lung cancer
Charles M Rudin;Steffen Durinck;Eric W Stawiski;John T Poirier.
Nature Genetics (2012)
Compositions and methods for the treatment of immune related diseases
Sherman Fong;Audrey Goddard;Paul J. Godowski;Christopher J. Grimaldi.
Interleukin (IL)-22, a novel human cytokine that signals through the interferon receptor-related proteins CRF2-4 and IL-22R.
Ming-Hong Xie;Sudeepta Aggarwal;Wei-Hsien Ho;Jessica Foster.
Journal of Biological Chemistry (2000)
Identification of an angiogenic mitogen selective for endocrine gland endothelium
Jennifer Lecouter;Joe Kowalski;Jessica Foster;Phil Hass.
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