Welcome to DataX Lab![]() ![]() ![]() DataX Lab, located in 3237 at SEB@UNLV, is established in 2015 by Dr. Mingon Kang. We aim to develop novel and efficient algorithms to solve challenging computational problems in Bioinformatics and Big Data Analytics, and to devote ourselves to providing computational analysis tools for research use. To be more specific, we are working on:
* DataX Lab offers a couple of funded RA positions, available for new Ph.D. students. Highly skilled, self-motivated, creative, and passionate students in Bioinformatics and Data Science would be welcome to discuss.Recent News
Research ProjectsHi-LASSOA High-Dimensional LASSO(Hi-LASSO) improves a LASSO model providing better performance of both prediction and feature selection on extremely high-dimensional data. (Kim et al, IEEE Access, 2019) Deep-HipoThe deep learning for Histopathology (Deep-Hipo) can accurately analyze histopathological images by learning multi-scale morphological patterns from various magnification levels of patches in a WSI simultaneously. (Kosaraju et al, 2020) PAGE-NetPAGE-Net integrates histopathological images and genomic data for survival prediction. PAGE-Net not only to improve survival prediction, but also to identify genetic and histopathological patterns that cause different survival rates in patients. (Hao and Kosaraju et al, PSB 2020) This page is created by Hyeryeong Seo at April, 2020. ©DataX Lab since 2015.
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