Derek Reiman

According to our database, Derek Reiman authored at least 12 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Pseudocell Tracer - A method for inferring dynamic trajectories using scRNAseq and its application to B cells undergoing immunoglobulin class switch recombination.

Derek Reiman, Godhev Kumar Manakkat Vijay, Heping Xu, Andrew Sonin, Dianyu Chen, Nathan Salomonis, Harinder Singh, Aly A. Khan

PLoS Comput. Biol., 2021

MiMeNet: Exploring microbiome-metabolome relationships using neural networks.

Derek Reiman, Brian T. Layden, Yang Dai

PLoS Comput. Biol., 2021

Meta-Signer: Metagenomic Signature Identifier based onrank aggregation of features.

Derek Reiman, Ahmed Metwally, Jun Sun, Yang Dai

F1000Research, 2021

Integrating microbiome and metabolome data for host disease prediction via deep neural networks.

Tina Khajeh, Derek Reiman, Ryan Morley, Yang Dai

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach.

Derek Reiman, Ali M. Farhat, Yang Dai

Proceedings of the Artificial Neural Networks - Third Edition., 2021

2020

PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data.

Derek Reiman, Ahmed A. Metwally, Jun Sun, Yang Dai

IEEE J. Biomed. Health Informatics, 2020

Using Conditional Generative Adversarial Networks to Boost the Performance of Machine Learning in Microbiome Datasets.

Derek Reiman, Yang Dai

Proceedings of the 1st International Conference on Deep Learning Theory and Applications, 2020

2019

Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks.

Ahmed A. Metwally, Philip S. Yu, Derek Reiman, Yang Dai, Patricia W. Finn, David L. Perkins

PLoS Comput. Biol., 2019

Integrating RNA expression and visual features for immune infiltrate prediction.

Derek Reiman, Lingdao Sha, Irvin Ho, Timothy Tan, Denise Lau, Aly A. Khan

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Using Convolutional Neural Network to Study the Regulatory Relationship Between DNA Methylation and Gene Expression.

Jingting Xu, Derek Reiman, Shang Gao, Yang Dai

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Using Autoencoders for Predicting Latent Microbiome Community Shifts Responding to Dietary Changes.

Derek Reiman, Yang Dai

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Using convolutional neural networks to explore the microbiome.

Derek Reiman, Ahmed Metwally, Yang Dai

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017