A single-cell multimodal view on gene regulatory network inference from transcriptomics and chromatin accessibility data
Eukaryotic gene regulation is a combinatorial, dynamic, and quantitative process that plays
a vital role in development and disease and can be modeled at a systems level in gene …
a vital role in development and disease and can be modeled at a systems level in gene …
Machine learning in single-cell RNA-seq data analysis
K Raza - … in computational intelligence. Springer, https://doi. org …, 2024 - Springer
Single-cell RNA sequencing (scRNA-seq) represents a transformative technology that
allows us to profile gene expression at the resolution of individual cells, providing …
allows us to profile gene expression at the resolution of individual cells, providing …
Trajectory inference with cell–cell interactions (TICCI): intercellular communication improves the accuracy of trajectory inference methods
Y Fu, H Qu, D Qu, M Zhao - Bioinformatics, 2025 - academic.oup.com
Motivation Understanding cell differentiation and development dynamics is key for single
cell transcriptome analysis. Current cell differentiation trajectory inference algorithms face …
cell transcriptome analysis. Current cell differentiation trajectory inference algorithms face …
Trajectory Inference and Cell Fate Prediction
K Raza - Machine Learning in Single-Cell RNA-seq Data …, 2024 - Springer
Advancements in single-cell RNA sequencing (scRNA-seq) technology have revolutionized
the analysis of cellular development, enabling high-resolution profiling of heterogeneous …
the analysis of cellular development, enabling high-resolution profiling of heterogeneous …