Applications of multi‐omics analysis in human diseases
Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
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
Despite available technology and the knowledge that chemical pollution damages human
and ecosystem health, chemical pollution remains rampant, ineffectively monitored, rarely …
and ecosystem health, chemical pollution remains rampant, ineffectively monitored, rarely …
Integration of spatial and single-cell data across modalities with weakly linked features
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 …
more than one biological modality, no technology can capture all modalities within the same …
The specious art of single-cell genomics
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 …
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 …
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
Rare cell populations are key in neoplastic progression and therapeutic response, offering
potential intervention targets. However, their computational identification and analysis often …
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
Background Single-cell RNA-sequencing (scRNA-seq) measures gene expression in single
cells, while single-nucleus ATAC-sequencing (snATAC-seq) quantifies chromatin …
cells, while single-nucleus ATAC-sequencing (snATAC-seq) quantifies chromatin …
Accurate integration of single-cell DNA and RNA for analyzing intratumor heterogeneity using MaCroDNA
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 …
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
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 …
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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