Applications of multi‐omics analysis in human diseases

C Chen, J Wang, D Pan, X Wang, Y Xu, J Yan… - MedComm, 2023 - Wiley Online Library
Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …

Daphnia as a Sentinel Species for Environmental Health Protection: A Perspective on Biomonitoring and Bioremediation of Chemical Pollution

M Abdullahi, X Li, MAE Abdallah… - Environmental …, 2022 - ACS Publications
Despite available technology and the knowledge that chemical pollution damages human
and ecosystem health, chemical pollution remains rampant, ineffectively monitored, rarely …

Integration of spatial and single-cell data across modalities with weakly linked features

S Chen, B Zhu, S Huang, JW Hickey, KZ Lin… - Nature …, 2024 - nature.com
Although single-cell and spatial sequencing methods enable simultaneous measurement of
more than one biological modality, no technology can capture all modalities within the same …

The specious art of single-cell genomics

T Chari, L Pachter - PLOS Computational Biology, 2023 - journals.plos.org
Dimensionality reduction is standard practice for filtering noise and identifying relevant
features in large-scale data analyses. In biology, single-cell genomics studies typically begin …

Spatial organization of the mouse retina at single cell resolution by MERFISH

J Choi, J Li, S Ferdous, Q Liang, JR Moffitt… - nature …, 2023 - nature.com
The visual signal processing in the retina requires the precise organization of diverse
neuronal types working in concert. While single-cell omics studies have identified more than …

MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer

X Wang, M Duan, J Li, A Ma, G Xin, D Xu, Z Li… - Nature …, 2024 - nature.com
Rare cell populations are key in neoplastic progression and therapeutic response, offering
potential intervention targets. However, their computational identification and analysis often …

Benchmarking algorithms for joint integration of unpaired and paired single-cell RNA-seq and ATAC-seq data

MYY Lee, KH Kaestner, M Li - Genome Biology, 2023 - Springer
Background Single-cell RNA-sequencing (scRNA-seq) measures gene expression in single
cells, while single-nucleus ATAC-sequencing (snATAC-seq) quantifies chromatin …

Accurate integration of single-cell DNA and RNA for analyzing intratumor heterogeneity using MaCroDNA

M Edrisi, X Huang, HA Ogilvie, L Nakhleh - Nature communications, 2023 - nature.com
Cancers develop and progress as mutations accumulate, and with the advent of single-cell
DNA and RNA sequencing, researchers can observe these mutations and their …

A universal framework for single-cell multi-omics data integration with graph convolutional networks

H Gao, B Zhang, L Liu, S Li, X Gao… - Briefings in …, 2023 - academic.oup.com
Single-cell omics data are growing at an unprecedented rate, whereas effective integration
of them remains challenging due to different sequencing methods, quality, and expression …

Clinical cytometry for platelets and platelet disorders

AL Frelinger, BEJ Spurgeon - Clinics in Laboratory Medicine, 2023 - labmed.theclinics.com
Clinical Cytometry for Platelets and Platelet Disorders - Clinics in Laboratory Medicine Skip to
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