Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data
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Publication:4999115
DOI10.1080/01621459.2021.1886106zbMath1464.62454OpenAlexW3132119066WikidataQ115551735 ScholiaQ115551735MaRDI QIDQ4999115
Jing Lei, Kathryn Roeder, Kevin Lin
Publication date: 6 July 2021
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01621459.2021.1886106
Applications of statistics to biology and medical sciences; meta analysis (62P10) Numerical methods for low-rank matrix approximation; matrix compression (65F55)
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- Network cross-validation by edge sampling
- Statistical guarantees for the EM algorithm: from population to sample-based analysis
- How close is the sample covariance matrix to the actual covariance matrix?
- Classification and clustering of sequencing data using a Poisson model
- The geometry of exponential families
- Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach
- Generalized Low Rank Models
- Latent Space Approaches to Social Network Analysis
- Statistical inference on random dot product graphs: a survey
- Principal Curves
- Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
- Low-rank matrix completion using alternating minimization
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