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Stability Selection

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The Technology and Biology of Single-Cell RNA Sequencing

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Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells

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Computational and analytical challenges in single-cell transcriptomics

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Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors

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AnimalTFDB 3.0: a comprehensive resource for annotation and prediction of animal transcription factors

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A general and flexible method for signal extraction from single-cell RNA-seq data

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Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures

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Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm

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Circuitry and Dynamics of Human Transcription Factor Regulatory Networks

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Design and computational analysis of single-cell RNA-sequencing experiments

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Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq

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SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation

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TIGRESS: Trustful Inference of Gene REgulation using Stability Selection

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Decoding the regulatory network of early blood development from single-cell gene expression measurements

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Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis

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Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves T H 1/T FH fate bifurcation in malaria

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Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis

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Gata6, Nanog and Erk signaling control cell fate in the inner cell mass through a tristable regulatory network

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Conservation of trans-acting circuitry during mammalian regulatory evolution

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Computational methods for trajectory inference from single‐cell transcriptomics

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Reconstructing gene regulatory dynamics from high-dimensional single-cell snapshot data

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A Bayesian Nonparametric Approach to Testing for Dependence Between Random Variables

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Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data

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Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model

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Network inference with Granger causality ensembles on single-cell transcriptomics

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Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data

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Gene Regulatory Network Inference from Pseudotime-Ordered scRNA-seq Data via Time-Lagged Divergence Measures

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Inferring Gene Regulatory Networks From Single-Cell Transcriptomic Data Using Bidirectional RNN

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GRNUlar: Gene Regulatory Network reconstruction using Unrolled algorithm from Single Cell RNA-Sequencing dataPreprint

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GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data

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Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments

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