[HTML][HTML] Computational strategies for single-cell multi-omics integration
N Adossa, S Khan, KT Rytkönen, LL Elo - Computational and Structural …, 2021 - Elsevier
Single-cell omics technologies are currently solving biological and medical problems that
earlier have remained elusive, such as discovery of new cell types, cellular differentiation …
earlier have remained elusive, such as discovery of new cell types, cellular differentiation …
scHiCStackL: a stacking ensemble learning-based method for single-cell Hi-C classification using cell embedding
H Wu, Y Wu, Y Jiang, B Zhou, H Zhou… - Briefings in …, 2022 - academic.oup.com
Single-cell Hi-C data are a common data source for studying the differences in the three-
dimensional structure of cell chromosomes. The development of single-cell Hi-C technology …
dimensional structure of cell chromosomes. The development of single-cell Hi-C technology …
schicsc: A novel single-cell hi-c clustering framework by contact-weight-based smoothing and feature fusion
X Zhou, Z Shi, Y Wu, J Zhao… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Single-cell Hi-C technology is utilized to obtain chromosome interaction information at the
single-cell level and further study the differences in genome structures between different cell …
single-cell level and further study the differences in genome structures between different cell …
scMNMF: a novel method for single-cell multi-omics clustering based on matrix factorization
Motivation The technology for analyzing single-cell multi-omics data has advanced rapidly
and has provided comprehensive and accurate cellular information by exploring cell …
and has provided comprehensive and accurate cellular information by exploring cell …