Multiscale topology classifies and quantifies cell types in subcellular spatial transcriptomic

Multiscale topology classifies and quantifies cell types in subcellular spatial transcriptomic

Raw image file of scanned tissue sections acquired using Vectra Polaris imaging system. Scanned sections represent FFPE kidney sections from TLR7 agonist imiquimod treated mouse (IMQ) and matching controls (Ctrl), which are defined in the file labels

書目詳細資料
Main Authors:	Bhandari, A, Bull, K
格式:	Dataset
語言:	English
出版:	University of Oxford 2024

相似書籍

Multiscale topology classifies cells in subcellular spatial transcriptomics
由: Benjamin, K, et al.
出版: (2024)

Bento: a toolkit for subcellular analysis of spatial transcriptomics data
由: Clarence K. Mah, et al.
出版: (2024-04-01)

Comprehensive subcellular topologies of polypeptides in Streptomyces
由: Konstantinos C. Tsolis, et al.
出版: (2018-03-01)

Spatial topology of organelle is a new breast cancer cell classifier
由: Ling Wang, et al.
出版: (2023-07-01)

Subcellular spatial transcriptomics identifies three mechanistically different classes of localizing RNAs
由: Lucia Cassella, et al.
出版: (2022-10-01)

Spatial subcellular organelle networks in single cells
由: Mythreye Venkatesan, et al.
出版: (2023-04-01)

Improved multi-label classifiers for predicting protein subcellular localization
由: Lei Chen, et al.
出版: (2024-01-01)

BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
由: Xiaohang Fu, et al.
出版: (2024-01-01)

Single-cell RNA-sequencing and subcellular spatial transcriptomics facilitate the translation of liver microphysiological systems for regulatory application
由: Dan Li, et al.
出版: (2023-07-01)

Cell-free DNA topology depends on its subcellular and cellular origins in cancer
由: Ethan Z. Malkin, et al.
出版: (2022-10-01)

Ensemble of Multiple Classifiers for Multilabel Classification of Plant Protein Subcellular Localization
由: Warin Wattanapornprom, et al.
出版: (2021-03-01)

A multiscale and multiperspective quantifying framework for spatial patterns and influencing mechanisms of geographical indications
由: Fulin Liu, et al.
出版: (2024-08-01)

Structural determinants of PINK1 topology and dual subcellular distribution
由: Kang Un, et al.
出版: (2010-11-01)

Spatial omics technologies at multimodal and single cell/subcellular level
由: Jiwoon Park, et al.
出版: (2022-12-01)

MERR APEX-seq protocol for profiling the subcellular nascent transcriptome in mammalian cells
由: Ran Li, et al.
出版: (2023-03-01)

MNMST: topology of cell networks leverages identification of spatial domains from spatial transcriptomics data
由: Yu Wang, et al.
出版: (2024-05-01)

Integrating single-cell and spatial transcriptomics in a computational multiscale model of triple negative breast cancer
由: Victori, P
出版: (2022)

An improved procedure for subcellular spatial alignment during live-cell CLEM.
由: Benjamin S Padman, et al.
出版: (2014-01-01)

Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq
由: Adekunle, Danielle(Danielle Aduke)
出版: (2021)

Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data
由: Ethan Bahl, et al.
出版: (2024-01-01)

Time-Delay Identification Using Multiscale Ordinal Quantifiers
由: Miguel C. Soriano, et al.
出版: (2021-07-01)

Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
由: Eils Roland, et al.
出版: (2006-06-01)

Subcellular RNA-seq for the Analysis of the Dendritic and Somatic Transcriptomes of Single Neurons
由: Julio Perez, et al.
出版: (2022-01-01)

Subcellular sequencing of single neurons reveals the dendritic transcriptome of GABAergic interneurons
由: Julio D Perez, et al.
出版: (2021-01-01)

Classifying divisor topologies for string phenomenology
由: Pramod Shukla
出版: (2022-12-01)

Classifying and quantifying changes in papilloedema using machine learning
由: Mark J Kupersmith, et al.
出版: (2024-05-01)

A Spatially Guided Machine-Learning Method to Classify and Quantify Glomerular Patterns of Injury in Histology Images
由: Justinas Besusparis, et al.
出版: (2023-10-01)

Exploring VAE-driven implicit parametric unit cells for multiscale topology optimization
由: Chenchen Chu, et al.
出版: (2024-08-01)

scClassify: sample size estimation and multiscale classification of cells using single and multiple reference
由: Yingxin Lin, et al.
出版: (2020-06-01)

Multiscale topology characterises dynamic tumour vascular networks
由: Stolz-Pretzer, B, et al.
出版: (2022)

Concurrent multiscale topology optimization: A hybrid approach
由: Minh Ngoc Nguyen, et al.
出版: (2022-09-01)

Spatially resolved mapping of proteome turnover dynamics with subcellular precision
由: Feng Yuan, et al.
出版: (2023-11-01)

Multiplexed protein profiling reveals spatial subcellular signaling networks
由: Shuangyi Cai, et al.
出版: (2022-09-01)

Spatial-proteomics reveals phospho-signaling dynamics at subcellular resolution
由: Ana Martinez-Val, et al.
出版: (2021-12-01)

Hypoxia classifier for transcriptome datasets
由: Laura Puente-Santamaría, et al.
出版: (2022-05-01)

Joint cell segmentation and cell type annotation for spatial transcriptomics
由: Russell Littman, et al.
出版: (2021-05-01)

Multiscale mapping of transcriptomic signatures for cardiotoxic drugs
由: Jens Hansen, et al.
出版: (2024-09-01)

Nanodynamo quantifies subcellular RNA dynamics revealing extensive coupling between steps of the RNA life cycle
由: Lucia Coscujuela Tarrero, et al.
出版: (2024-09-01)

Inferring differential subcellular localisation in comparative spatial proteomics using BANDLE
由: Oliver M. Crook, et al.
出版: (2022-10-01)

Applications of learning classifier systems /
由: Bull, Larry
出版: (2004)