mleg.cse.sc.edu

USC Machine Learning and Evolution Laboratory

Storey Innovation Center 2240. Department of Computer Science and Engineering. University of South Carolina. Columiba, SC, 29208. Welcome to Machine Learning and Evolution Laboratory (MLEG). Keywords: Machine learning, Data mining, Deep learning, Bioinformatics, Material Informatics, Health Informatics;. New software Online GPhase: Phase Mapping Program. Feb 11, 2017). Lewis Cawthorne won the University Magellan Scholarship on developing text mining system for protein sorting motif analysis.

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USC Machine Learning and Evolution Laboratory | mleg.cse.sc.edu Reviews

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Storey Innovation Center 2240. Department of Computer Science and Engineering. University of South Carolina. Columiba, SC, 29208. Welcome to Machine Learning and Evolution Laboratory (MLEG). Keywords: Machine learning, Data mining, Deep learning, Bioinformatics, Material Informatics, Health Informatics;. New software Online GPhase: Phase Mapping Program. Feb 11, 2017). Lewis Cawthorne won the University Magellan Scholarship on developing text mining system for protein sorting motif analysis.

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USC Machine Learning and Evolution Laboratory | mleg.cse.sc.edu Reviews

https://mleg.cse.sc.edu

Storey Innovation Center 2240. Department of Computer Science and Engineering. University of South Carolina. Columiba, SC, 29208. Welcome to Machine Learning and Evolution Laboratory (MLEG). Keywords: Machine learning, Data mining, Deep learning, Bioinformatics, Material Informatics, Health Informatics;. New software Online GPhase: Phase Mapping Program. Feb 11, 2017). Lewis Cawthorne won the University Magellan Scholarship on developing text mining system for protein sorting motif analysis.

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mleg.cse.sc.edu

1

MLEG Lab: Publications

http://mleg.cse.sc.edu/pub/puball.html

Zheng Xiong, Yinyan He, Jason Hattric-Simpers, Jianjun Hu (2017) Automated Phase Segmentation for large-Scale X-ray Diffration Data using Graph-based Phase Segmentation (GPhase) Algorithm. ACS Combinatorial Sciences. DOI: 10.1021/acscombsci.6b00121. Shaoboli, Zheng Xiong, Jianjun Hu (2017) Inferring Phase Diagrams from X-ray Diffraction data with large background signals using Graph Segmentation Algorithm (BGPhase). Submited. 2017. Related USPTO-2M benchmark patent classification dataset ( Download.

2

Ensemble Prediction

http://mleg.cse.sc.edu/LRensemble/cgi-bin/predict.cgi

LR Ensemble Server for Protein Localization Prediction (for Yeast Proteins). Please paste protein sequence(s) in Fasta format (less than 10 sequences a time):. Citation: Jhih-Rong Lin, Ananda Mohan Mondal, Rong Liu, Jianjun Hu. (2012) Minimalist Ensemble Algorithms for Genome-wide Protein Localization Prediction, BMC Bioinformatics. (in progress).

3

USC Machine Learning and Evolution Laboratory

http://mleg.cse.sc.edu/index.html

Swearing Engineering Building 3A66. Department of Computer Science and Engineering. University of South Carolina. Columiba, SC, 29201. Welcome to Machine Learning and Evolution Laboratory (MLEG). Keywords: Machine learning, Data mining, Deep learning, Bioinformatics, Material Informatics, Health Informatics;. New software Online GPhase: Phase Mapping Program. Feb 11, 2017). Lewis Cawthorne won the University Magellan Scholarship on developing text mining system for protein sorting motif analysis.

4

USC MLEG Group: Research

http://mleg.cse.sc.edu/education.html

The following courses are provided by the Department of Computer Science and Engineering and the University of South Carolina for training in machine learning, data mining, bioinformatics and mathematics. CSCE206 Scientific Application Programming Data (using Python). CSCE590 Mobile Application Development. This course introduces the programming skills for developing hybrid mobile apps that run across all major platforms such as ios, android, windows, and etc. It uses HTML5 and ionic framework to dev...

5

MLEG Lab: Research

http://mleg.cse.sc.edu/hiring.html

The mission of our lab is to develop machine learning, data mining, and evolutionary algorithms for knowledge discovery and innovation in bioinformatics and engineering designs. We are looking for highly-motivated Postdocs, PhD students, and Undergraduate RA to join our team to solve challenging problems. Our research is funded by National Science Foundation DBI division, ABI Advances in Biomedical Informatics program. Currently, we have the following opennings:. Potential research topics include. We are...

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mleg.cse.sc.edu

USC Machine Learning and Evolution Laboratory

Storey Innovation Center 2240. Department of Computer Science and Engineering. University of South Carolina. Columiba, SC, 29208. Welcome to Machine Learning and Evolution Laboratory (MLEG). Keywords: Machine learning, Data mining, Deep learning, Bioinformatics, Material Informatics, Health Informatics;. New software Online GPhase: Phase Mapping Program. Feb 11, 2017). Lewis Cawthorne won the University Magellan Scholarship on developing text mining system for protein sorting motif analysis.

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