[HTML][HTML] Recent advances in T-cell receptor repertoire analysis: bridging the gap with multimodal single-cell RNA sequencing
T cells exercise a multitude of functions such as cytotoxicity, secretion of immunomodulating
cytokines or regulation of tolerance, collectively resulting in an effective control of immune …
cytokines or regulation of tolerance, collectively resulting in an effective control of immune …
[HTML][HTML] From Louvain to Leiden: guaranteeing well-connected communities
Community detection is often used to understand the structure of large and complex
networks. One of the most popular algorithms for uncovering community structure is the so …
networks. One of the most popular algorithms for uncovering community structure is the so …
A principled methodology for comparing relatedness measures for clustering publications
There are many different relatedness measures, based for instance on citation relations or
textual similarity, that can be used to cluster scientific publications. We propose a principled …
textual similarity, that can be used to cluster scientific publications. We propose a principled …
Scalable community detection via parallel correlation clustering
J Shi, L Dhulipala, D Eisenstat, J Łącki… - ar** community detection: label propagation
S Goswami, AK Singh - Multimedia Tools and Applications, 2024 - Springer
Overlap** community discovery in large networks is an essential issue in graph theory
and network research, since nodes might belong to many communities. Label propagation …
and network research, since nodes might belong to many communities. Label propagation …
Spatial behavior of cancer care utilization in distance decay in the Northeast region of the US
Purpose Spatial behavior of patients in utilizing health care reflects their travel burden or
mobility, accessibility for medical service, and subsequently outcomes from treatment. This …
mobility, accessibility for medical service, and subsequently outcomes from treatment. This …
GIS-automated delineation of hospital service areas in Florida: From Dartmouth method to network community detection methods
ABSTRACT Since the Dartmouth Hospital Service Areas (HSAs) were proposed three
decades ago, there has been a large body of work using the unit in examining the …
decades ago, there has been a large body of work using the unit in examining the …
Making graphs compact by lossless contraction
This paper proposes a scheme to reduce big graphs to small graphs. It contracts obsolete
parts, stars, cliques and paths into supernodes. The supernodes carry a synopsis S_Q for …
parts, stars, cliques and paths into supernodes. The supernodes carry a synopsis S_Q for …
Krylov subspace approximation for local community detection in large networks
Community detection is an important information mining task to uncover modular structures
in large networks. For increasingly common large network datasets, global community …
in large networks. For increasingly common large network datasets, global community …