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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:
- Interpretable and Integrative Deep Learning in Bioinformatics
- Next Generation Sequencing data analysis
- Multi-omics data analysis
- Clinical and Translational Research
- Intelligent Systems in Computer Vision
* 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
- February 2021: Network Attached Storage (NAS) and CPU Servers are installed in the lab.
- January 2021: DataX Caffe is open now with a brand new espresso machine. DataX members enjoy free coffee!
- October 2020: Two more GPU servers are added: Atlas and Titan servers.
Research Projects
Hi-LASSO
A 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-Hipo
The 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-Net
PAGE-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.