Computational principles and challenges in single-cell data integration
The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …
multiple dimensions of cellular heterogeneity, enabling new insights into development …
Current progress and potential opportunities to infer single-cell developmental trajectory and cell fate
Rapid technological advances in transcriptomics and lineage tracing technologies provide
new opportunities to understand organismal development at the single-cell level. Building …
new opportunities to understand organismal development at the single-cell level. Building …
Gene-level alignment of single-cell trajectories
Single-cell data analysis can infer dynamic changes in cell populations, for example across
time, space or in response to perturbation, thus deriving pseudotime trajectories. Current …
time, space or in response to perturbation, thus deriving pseudotime trajectories. Current …
Alignment of single-cell trajectories by tuMap enables high-resolution quantitative comparison of cancer samples
A Alpert, O Nahman, E Starosvetsky, M Hayun… - Cell systems, 2022 - cell.com
Single-cell technologies allow characterization of cancer samples as continuous
developmental trajectories. Yet, the obtained temporal resolution cannot be leveraged for a …
developmental trajectories. Yet, the obtained temporal resolution cannot be leveraged for a …
Identifying the module structure of swarms using a new framework of network-based time series clustering
K Gu, Z Mao, X Duan, G Wu, L Yan - Engineering Applications of Artificial …, 2021 - Elsevier
Swarm is a collective motion phenomenon whose dynamic mechanism and cooperation
structure could be identified based on observations. Unmanned Aerial Vehicles (UAV) is a …
structure could be identified based on observations. Unmanned Aerial Vehicles (UAV) is a …
Identification of astrocyte-driven pseudolineages reveals clinical stratification and therapeutic targets in Glioblastoma
LC Foerster, O Kaya, V Wüst, M Bekavac, KC Ziegler… - bioRxiv, 2023 - biorxiv.org
Cancer research has predominantly targeted genetic mutations, while only recently has
attention shifted to understanding tumor cell-stages. However, the key organizational …
attention shifted to understanding tumor cell-stages. However, the key organizational …
Computational methods and reproducible analysis in regulatory genomics
P Monteagudo Mesas - 2023 - edoc.ub.uni-muenchen.de
While the modern field of genomics is exploding with new experimental techniques that
push the limits of what is possible, computational methods designed to process and extract …
push the limits of what is possible, computational methods designed to process and extract …
Properties of the generalized Robinson-Foulds metric
Comparing hierarchical structures is a problem with many applications in various fields of
biology. In this work we address the problem of comparing phylogenetic trees and …
biology. In this work we address the problem of comparing phylogenetic trees and …
Anti Tai mapping for unordered labeled trees
M Blažević, S Canzar, K Elbassioni… - Information processing …, 2024 - Elsevier
The well-studied Tai mapping between two rooted labeled trees T 1=(V 1, E 1) and T 2=(V 2,
E 2) defines a one-to-one mapping between nodes in T 1 and T 2 that preserves ancestor …
E 2) defines a one-to-one mapping between nodes in T 1 and T 2 that preserves ancestor …
Computational methods for large-scale single-cell RNA-seq and multimodal data
VH Đỗ - 2021 - edoc.ub.uni-muenchen.de
Emerging single cell genomics technologies such as single cell RNA-seq (scRNA-seq) and
single cell ATAC-seq provide new opportunities for discovery of previously unknown cell …
single cell ATAC-seq provide new opportunities for discovery of previously unknown cell …