Inference of single|cell network using mutual information for scRNA ...

SCING: Inference of robust, interpretable gene regulatory networks ...

Here, we present Single Cell INtegrative Gene regulatory network inference (SCING), a gradient boosting and mutual information-based approach ...

Inferring Gene Regulatory Networks from Single Cell RNA-seq ...

Single cell RNA-sequencing (scRNA-seq) has become ubiquitous in biology. Recently, there has been a push for using scRNA-seq snapshot data ...

Gene regulatory network inference in single-cell biology - NSF PAR

Information theoretic approaches use the mutual in- formation ... with other scRNA- seq data to be used in downstream analysis. In ...

[PDF] Gene Regulatory Network Inference from Single-Cell Data ...

PIDC, a fast, efficient algorithm that uses partial information decomposition (PID) to identify regulatory relationships between genes, is developed and ...

Network Inference from Single-Cell Transcriptomic Data.

H. Todorov, Robrecht Cannoodt, +1 author. Y. Saeys · Published in Methods in molecular biology 14 December 2018 · Biology, Computer Science · Methods in molecular ...

SCING: Single Cell INtegrative Gene regulatory network inference ...

Gene regulatory network (GRN) inference is an integral part of understanding physiology and disease. Single cell/nuclei RNAseq (scRNAseq/snRNAseq) data has ...

Reconstructing gene regulatory networks in single-cell ...

At present, many studies and algorithms have been developed to construct GRNs from scRNA-seq data based on various principles and perspectives. INFERENCE ...

jyyulab/scMINER: Single-cell Mutual Information-based ... - GitHub

Mutual information-based clustering: scMINER measures the cell-cell similarities with full feature-derived mutual information. It can catch both linear and non- ...

Gene Regulatory Network Inference Using Convolutional Neural ...

On the one hand, scRNA-seq data reveal statistical information of gene expression at single-cell resolution, which is beneficial to construct gene expression ...

Reconstructing gene regulatory networks in single-cell ...

Single-cell RNA sequencing (scRNA-seq) technology has made it possible to measure and compare gene transcriptomic profiles at single-cell resolution (Eberwine ...

Codependency and mutual exclusivity for gene community detection ...

AbstractSingle-cell RNA-seq (scRNA-seq) can be used to characterize cellular heterogeneity in thousands of cells. The reconstruction of a gene network based ...

Integration of single-cell multi-omics for gene regulatory network ...

There are two types of scRNA-seq data – with and without temporal information. In a biological process, condition or experiment, cells can be collected from ...

Current best practices in single‐cell RNA‐seq analysis: a tutorial

... network inference from single‐cell data using multivariate information measures. ... cell RNA‐sequencing data are corrected by matching mutual ...

OmicsML/awesome-deep-learning-single-cell-papers - GitHub

... cell RNA-sequencing data are corrected by matching mutual ... Network Inference from Single-Cell Data Using Multivariate Information Measures [paper] ...

Deeply Analyzing Gene Regulatory Networks from scRNA-seq Data

To efficiently infer cell-specific GRNs from scRNA-seq data, DeepIMAGER translates the expression profiles of gene pairs into images and applies ResNet50 [31] ...

Gene regulatory network reconstruction using single-cell RNA ...

A commonly used technique to address missing data is data imputation. We tested the impact of several imputation packages on network inference: ...

Evaluating the Reproducibility of Single-Cell Gene Regulatory ...

Starting from the exhaustive collection of single-cell network inference algorithms presented in Chen and Mar (2018) and Pratapa et al. (2020), ...

Network modeling of single-cell omics data - Portland Press

Additionally, the primary metrics used to measure performance (e.g. rand index or mutual information) benchmark the ability of these methods to define cell ...

A Bayesian inference transcription factor activity model for the ...

Gene regulatory network inference from single-cell data using multivariate information measures. Cell Syst. 5: 251–267.e3. doi:10.1016/j.cels ...

Deep learning for inferring gene relationships from single-cell ...

It represents each pair of genes as an image (histogram) and uses convolutional neural networks (CNNs) to infer relationships between different ...