11 Papers
21 Citations
Yi Zhang is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Genome-wide association study & Expression quantitative trait loci. The author has an hindex of 3, co-authored 11 publications. Previous affiliations of Yi Zhang include Harvard University.
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Papers
ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data.
Mohith Manjunath,Yi Zhang,Yeonsung Kim,Steve Yeo,Omar N Sobh,Nate Russell,Christian Followell,Colleen Bushell,Umberto Ravaioli,Jun S. Song +9 more
TL;DR: The web resource will be particularly useful to scientists who are not conversant with computing but want to understand the structure of their data in an intuitive manner and the validation measures facilitate the process of choosing a suitable clustering algorithm among the available options.
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SequencEnG: an interactive knowledge base of sequencing techniques
TL;DR: An interactive online educational resource to provide a tree‐structured knowledge base of 66 different sequencing techniques and step‐by‐step NGS data analysis pipelines comparing popular tools, designed to facilitate barrier‐free learning of current NGS techniques.
ABC-GWAS: Functional Annotation of Estrogen Receptor-Positive Breast Cancer Genetic Variants
TL;DR: “Analysis of Breast Cancer GWAS” (ABC-GWAS) is created, an interactive database of functional annotation of estrogen receptor-positive breast cancer GWAS variants, which includes expression quantitative trait loci, long-range chromatin interaction predictions, and transcription factor binding motif analyses to prioritize putative target genes, causal variants, andcription factors.
ClusterEnG: An interactive educational web resource for clustering big data
Mohith Manjunath,Yi Zhang,Steve Yeo,Omar N Sobh,Nate Russell,Christian Followell,Colleen Bushell,Umberto Ravaioli,Jun S. Song +8 more
TL;DR: Clustering is one of the most common techniques used in data analysis to discover hidden structures by grouping together data points that are similar in some measure into clusters but a single web resource that provides both state-of-the-art clustering methods and interactive visualizations is lacking.
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Can cancer GWAS variants modulate immune cells in the tumor microenvironment
TL;DR: Evidence that the breast cancer-associated variant rs3903072 may regulate the expression of CTSW in tumor infiltrating lymphocytes is presented, and a putative causative variant in a GWAS-linked enhancer in lymphocytes that loops to the 3’ end of C TSW through three-dimensional chromatin interaction is suggested.