Results 21 to 30 of about 68,356 (275)

Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST

open access: yesNature Communications, 2023
Spatially resolved transcriptomics involves a set of emerging technologies that enable the transcriptomic profiling of tissues with the physical location of expressions. Although a variety of methods have been developed for data integration, most of them
Wei Liu   +10 more
doaj   +1 more source

Molecular profiling of resident and infiltrating mononuclear phagocytes during rapid adult retinal degeneration using single-cell RNA sequencing. [PDF]

open access: yes, 2019
Neuroinflammation commonly accompanies neurodegeneration, but the specific roles of resident and infiltrating immune cells during degeneration remains controversial.
Burns, Marie E   +3 more
core   +2 more sources

Spatial transcriptomics deconvolution at single-cell resolution using Redeconve

open access: yesNature Communications, 2023
Computational deconvolution with single-cell RNA sequencing data as reference is pivotal to interpreting spatial transcriptomics data, but the current methods are limited to cell-type resolution.
Zixiang Zhou   +3 more
doaj   +1 more source

Inferring spatial and signaling relationships between cells from single cell transcriptomic data. [PDF]

open access: yes, 2020
Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however, crucial spatial information is often lost. We present SpaOTsc, a method relying on structured optimal transport to recover spatial properties of scRNA-seq data by ...
Cang, Zixuan, Nie, Qing
core  

Systems analysis of host-parasite interactions. [PDF]

open access: yes, 2015
Parasitic diseases caused by protozoan pathogens lead to hundreds of thousands of deaths per year in addition to substantial suffering and socioeconomic decline for millions of people worldwide.
Jamshidi, Neema   +3 more
core   +1 more source

Maternal recognition of pregnancy in the horse : are MicroRNAs the secret messengers? [PDF]

open access: yes, 2020
The signal for maternal recognition of pregnancy (MRP) has still not been identified in the horse. High-throughput molecular biology at the embryo-maternal interface has substantially contributed to the knowledge on pathways affected during MRP, but an ...
Deforce, Dieter   +11 more
core   +2 more sources

Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning

open access: yesNature Communications, 2022
Multi-view graph approaches could enhance the analysis of tissue heterogeneity in spatial transcriptomics. Here, the authors develop the Spatial Transcriptomics data analysis by Multiple View Collaborative-learning - stMVC - framework, and apply it to ...
Chunman Zuo   +5 more
doaj   +1 more source

Bionanomedicine: A “Panacea” In Medicine? [PDF]

open access: yes, 2017
Recent advances in nanotechnology, biotechnology, bioinformatics, and materials science have prompted novel developments in the field of nanomedicine. Enhancements in the theranostics, computational information, and management of diseases/disorders are ...
Anurogo, D. (Dito)   +2 more
core   +1 more source

Enabling precision medicine in neonatology, an integrated repository for preterm birth research. [PDF]

open access: yes, 2018
Preterm birth, or the delivery of an infant prior to 37 weeks of gestation, is a significant cause of infant morbidity and mortality. In the last decade, the advent and continued development of molecular profiling technologies has enabled researchers to ...
Anderson, Rebecca   +21 more
core   +4 more sources

Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

open access: yesGenome Biology, 2023
Spatial transcriptomics maps gene expression across tissues, posing the challenge of determining the spatial arrangement of different cell types. However, spatial transcriptomics spots contain multiple cells.
Agnieszka Geras   +11 more
doaj   +1 more source

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