Derek Reiman

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Convolutional Neural Networks

Gene Expression

Textual Features

Top Venues

PLoS Comput. Biol.

IEEE J. Biomed. Health Informatics

Publications

Leah L. Weber, Derek Reiman, Mrinmoy Saha Roddur, Yuanyuan Qi, Mohammed El-Kebir, Aly A. Khan
TRIBAL: Tree Inference of B Cell Clonal Lineages. RECOMB (2024)
Derek Reiman, Ahmed Metwally, Jun Sun, Yang Dai
Meta-Signer: Metagenomic Signature Identifier based onrank aggregation of features. F1000Research 10 (2021)
Tina Khajeh, Derek Reiman, Ryan Morley, Yang Dai
Integrating microbiome and metabolome data for host disease prediction via deep neural networks. BHI (2021)
Derek Reiman, Godhev Kumar Manakkat Vijay, Heping Xu, Andrew Sonin, Dianyu Chen, Nathan Salomonis, Harinder Singh, Aly A. Khan
Pseudocell Tracer - A method for inferring dynamic trajectories using scRNAseq and its application to B cells undergoing immunoglobulin class switch recombination. PLoS Comput. Biol. 17 (5) (2021)
Derek Reiman, Brian T. Layden, Yang Dai
MiMeNet: Exploring microbiome-metabolome relationships using neural networks. PLoS Comput. Biol. 17 (5) (2021)
Derek Reiman, Ahmed A. Metwally, Jun Sun, Yang Dai
PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Derek Reiman, Yang Dai
Using Conditional Generative Adversarial Networks to Boost the Performance of Machine Learning in Microbiome Datasets. DeLTA (2020)
Derek Reiman, Yang Dai
Using Autoencoders for Predicting Latent Microbiome Community Shifts Responding to Dietary Changes. BIBM (2019)
Jingting Xu, Derek Reiman, Shang Gao, Yang Dai
Using Convolutional Neural Network to Study the Regulatory Relationship Between DNA Methylation and Gene Expression. BIBM (2019)
Derek Reiman, Lingdao Sha, Irvin Ho, Timothy Tan, Denise Lau, Aly A. Khan
Integrating RNA expression and visual features for immune infiltrate prediction. PSB (2019)
Ahmed A. Metwally, Philip S. Yu, Derek Reiman, Yang Dai, Patricia W. Finn, David L. Perkins
Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks. PLoS Comput. Biol. 15 (2) (2019)
Derek Reiman, Ahmed Metwally, Yang Dai
Using convolutional neural networks to explore the microbiome. EMBC (2017)