Evaluating model-free directional dependency methods on single-cell rna sequencing data with severe dropout
As severe dropout in single-cell RNA sequencing (scRNA-seq) degrades data quality,
current methods for network inference face increased uncertainty from such data. To …
current methods for network inference face increased uncertainty from such data. To …
Overcoming biases in causal inference of molecular interactions
Motivation Computer inference of biological mechanisms is increasingly approachable due
to dynamically rich data sources such as single-cell genomics. Inferred molecular …
to dynamically rich data sources such as single-cell genomics. Inferred molecular …
Compact, Causal and Multivariate Functional Statistics in Model-Free Discrete Pattern Discovery
S Kumar - 2022 - search.proquest.com
Abstract Model-free functional dependency is established if the dependent variable can be
explained as a function of one or more independent variables, without the need of specifying …
explained as a function of one or more independent variables, without the need of specifying …
Joint Grid Discretization for Pattern Discovery in Single-Cell Biology
J Wang - 2020 - search.proquest.com
The complexity, dynamics, and scale of data acquired by modern biotechnology increasingly
favor model-free computational methods with minimal assumptions about underlying …
favor model-free computational methods with minimal assumptions about underlying …