Advanced biomedical research requires systems biology approaches where bioinformatics and computation biology play an important role. The primary research in the Laboratory of Computational Functional Genomics is the development of methods for analysis and integration of omics data to understand underlying mechanisms, derive new hypotheses, and identify therapeutics in human and animal studies. We are also interested in modeling host-microbiome interaction to understand its role in shaping the wellness or disease of the human body.
- 7.15.2020. Derek gives a short talk at ISMB 2020 on his paper, “MiMeNet: Exploring the Microbiome-Metabolome Relationships using Neural Networks”. Congratulations!
- 7.8.2020. Derek gives a talk at DelTA 2020 on his paper, “Using Conditional Generative Adversarial Networks to Boost the Performance of Machine Learning in Microbiome Datasets”. Congratulations!
- 5.9.2020. Derek’s paper, “PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype from Metagenomic Data” is accepted by IEEE JBHI. Congratulations!
- 11.22.2019. Congrats to Jingting for receiving a job offer as a Clinical Data Scientist from Gilead Sciences, CA.
- 11.03.2019. Derek receives a Student Travel Award to attend the IEEE BIBM conference at San Diego. Congrats!
- 10.22.2019. Congrats to Jingting for a successful PhD dissertation defense! Title: “Computational Analysis of DNA Methylation and Gene Expression”.
- 10.20.2019. Shang presented a poster presentation at Cell Symposia of Transcriptional Regulation in Evolution, Development, and Disease. Title: “A Bayesian Inference Transcription Factor Activity Model for the Analysis of Single Cell Transcriptomes”.
- 10.20.2019. Jingting, Derek and Shang’s paper, “Using Convolutional Neural Network to Study the Regulatory Relationship Between DNA Methylation and Gene Expression”, was accepted by the IEEE BIBM19 Workshop for oral presentation in San Diego in November 2019. Congrats!
- 10.1.2019. Derek’s paper, “Using Autoencoders for Predicting Latent Microbiome Community Shifts Responding to Dietary Changes”, was accepted by the IEEE BIBM19 Workshop for oral presentation in San Diego in November 2019. Congrats!
Webmaster | June 20, 2017