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Sparse and compositionally robust inference of microbial ecological networks

18 August 2014

Papers citing "Sparse and compositionally robust inference of microbial ecological networks"

22 / 22 papers shown

Title
Graphical Transformation Models Matthias Herp Johannes Brachem Michael Altenbuchinger Thomas Kneib 190 1 0 22 Mar 2025
CMiNet: R package for learning the Consensus Microbiome Network Rosa Aghdam Claudia Solís-Lemus 27 0 0 13 Nov 2024
Tree-based variational inference for Poisson log-normal models Alexandre Chaussard Anna Bonnet Elisabeth Gassiat Sylvain Le Corff 65 0 0 25 Jun 2024
Network reconstruction via the minimum description length principle Tiago P. Peixoto 100 6 0 02 May 2024
Cross-Validation for Training and Testing Co-occurrence Network Inference Algorithms Daniel Agyapong J. Propster Jane Marks T. Hocking OOD 24 1 0 26 Sep 2023
CARE: Large Precision Matrix Estimation for Compositional Data Shucong Zhang Huiyuan Wang Wei Lin 43 3 0 13 Sep 2023
Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data R. Aghdam Xu-Qing Tang Shan Shan Richard A. Lankau Claudia Solís-Lemus AI4CE 31 1 0 19 Jun 2023
Graph Laplacian Learning with Exponential Family Noise Changhao Shi Zhengchao Wan 61 2 0 14 Jun 2023
Inference of Multiscale Gaussian Graphical Model Do Edmond Sanou Christophe Ambroise Geneviève Robin 74 1 0 11 Feb 2022
High-dimensional Inference and FDR Control for Simulated Markov Random Fields Haoyu Wei Xiaoyu Lei Yixin Han Huiming Zhang 96 0 0 11 Feb 2022
Epistemic AI platform accelerates innovation by connecting biomedical knowledge Emily Koo H. Bowling K. Ashworth D. Heeger Stefano Pacifico 154 1 0 27 Jan 2022
Extending compositional data analysis from a graph signal processing perspective Christopher Rieser Peter Filzmoser 23 2 0 25 Jan 2022
Tree-based Node Aggregation in Sparse Graphical Models Ines Wilms Jacob Bien 50 4 0 29 Jan 2021
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data Lingjing Jiang N. Haiminen A. Carrieri Shi Huang Yoshiki Vazquez-Baeza L. Parida Ho-Cheol Kim Austin D. Swafford R. Knight L. Natarajan 27 8 0 30 Nov 2020
Estimation of Shortest Path Covariance Matrices R. Maity Cameron Musco 29 0 0 19 Nov 2020
Latent Network Estimation and Variable Selection for Compositional Data via Variational EM Nathan Osborne Christine B. Peterson M. Vannucci BDL 64 18 0 25 Oct 2020
PhD dissertation to infer multiple networks from microbial data Sahar Tavakoli 43 0 0 12 Oct 2020
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery M. Laszkiewicz Asja Fischer Johannes Lederer 74 6 0 01 May 2020
Estimating Sparse Networks with Hubs Annaliza McGillivray Abbas Khalili D. Stephens 57 5 0 20 Apr 2019
Sparse Inverse Covariance Estimation for High-throughput microRNA Sequencing Data in the Poisson Log-Normal Graphical Model David G. Sinclair Giles Hooker 49 5 0 15 Aug 2017
Generalized Stability Approach for Regularized Graphical Models Christian L. Müller Richard Bonneau Zachary D. Kurtz 49 21 0 23 May 2016
Topology Adaptive Graph Estimation in High Dimensions Johannes Lederer Christian L. Müller 35 1 0 27 Oct 2014