Derek Reiman - researchr alias

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Viewing Publication 1 - 13 from 13

2024

TRIBAL: Tree Inference of B Cell Clonal LineagesLeah L. Weber, Derek Reiman, Mrinmoy Saha Roddur, Yuanyuan Qi, Mohammed El-Kebir, Aly A. Khan. recomb 2024: 364-367 [doi]

2021

Integrating microbiome and metabolome data for host disease prediction via deep neural networksTina Khajeh, Derek Reiman, Ryan Morley, Yang Dai. bhi 2021: 1-4 [doi]

Pseudocell Tracer - A method for inferring dynamic trajectories using scRNAseq and its application to B cells undergoing immunoglobulin class switch recombinationDerek Reiman, Godhev Kumar Manakkat Vijay, Heping Xu, Andrew Sonin, Dianyu Chen, Nathan Salomonis, Harinder Singh, Aly A. Khan. ploscb, 17(5), 2021. [doi]

MiMeNet: Exploring microbiome-metabolome relationships using neural networksDerek Reiman, Brian T. Layden, Yang Dai. ploscb, 17(5), 2021. [doi]

Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network ApproachDerek Reiman, Ali M. Farhat, Yang Dai. In Hugh M. Cartwright, editor, Artificial Neural Networks - Third Edition. Volume 2190 of Methods in Molecular Biology, pages 249-266, Springer, 2021. [doi]

Meta-Signer: Metagenomic Signature Identifier based onrank aggregation of featuresDerek Reiman, Ahmed Metwally 0002, Jun Sun, Yang Dai. f1000research, 10:194, 2021. [doi]

2020

Using Conditional Generative Adversarial Networks to Boost the Performance of Machine Learning in Microbiome DatasetsDerek Reiman, Yang Dai. delta2 2020: 103-110 [doi]

PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic DataDerek Reiman, Ahmed A. Metwally, Jun Sun, Yang Dai. titb, 24(10):2993-3001, 2020. [doi]

2019

2017

Using convolutional neural networks to explore the microbiomeDerek Reiman, Ahmed Metwally, Yang Dai. embc 2017: 4269-4272 [doi]

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