Cargando…

CellMarker 2.0: an updated database of manually curated cell markers in human/mouse and web tools based on scRNA-seq data

CellMarker 2.0 (http://bio-bigdata.hrbmu.edu.cn/CellMarker or http://117.50.127.228/CellMarker/) is an updated database that provides a manually curated collection of experimentally supported markers of various cell types in different tissues of human and mouse. In addition, web tools for analyzing...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hu, Congxue, Li, Tengyue, Xu, Yingqi, Zhang, Xinxin, Li, Feng, Bai, Jing, Chen, Jing, Jiang, Wenqi, Yang, Kaiyue, Ou, Qi, Li, Xia, Wang, Peng, Zhang, Yunpeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Database Issue
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825416/ https://www.ncbi.nlm.nih.gov/pubmed/36300619 http://dx.doi.org/10.1093/nar/gkac947

Ejemplares similares

CellMarker: a manually curated resource of cell markers in human and mouse
por: Zhang, Xinxin, et al.
Publicado: (2019)

Lnc2Cancer 3.0: an updated resource for experimentally supported lncRNA/circRNA cancer associations and web tools based on RNA-seq and scRNA-seq data
por: Gao, Yue, et al.
Publicado: (2020)

scRNASequest: an ecosystem of scRNA-seq analysis, visualization, and publishing
por: Li, Kejie, et al.
Publicado: (2023)

ScRNA-seq and ST-seq in liver research
por: He, Jia, et al.
Publicado: (2023)

A rank-based marker selection method for high throughput scRNA-seq data
por: Vargo, Alexander H. S., et al.
Publicado: (2020)

GeneMarkeR: A Database and User Interface for scRNA-seq Marker Genes
por: Paisley, Brianna M., et al.
Publicado: (2021)

PCMDB: a curated and comprehensive resource of plant cell markers
por: Jin, Jingjing, et al.
Publicado: (2021)

Mast cell marker gene signature: prognosis and immunotherapy response prediction in lung adenocarcinoma through integrated scRNA-seq and bulk RNA-seq
por: Zhang, Pengpeng, et al.
Publicado: (2023)

Identification and Validation of NK Marker Genes in Ovarian Cancer by scRNA-seq Combined with WGCNA Algorithm
por: He, Xin, et al.
Publicado: (2023)

A statistical simulator scDesign for rational scRNA-seq experimental design
por: Li, Wei Vivian, et al.
Publicado: (2019)

scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization
por: Yan, Xuhua, et al.
Publicado: (2023)

Cell lineage inference from SNP and scRNA-Seq data
por: Ding, Jun, et al.
Publicado: (2019)

Automated methods for cell type annotation on scRNA-seq data
por: Pasquini, Giovanni, et al.
Publicado: (2021)

Computational approaches for interpreting scRNA‐seq data
por: Rostom, Raghd, et al.
Publicado: (2017)

Cerebro: interactive visualization of scRNA-seq data
por: Hillje, Roman, et al.
Publicado: (2020)

Compression of quantification uncertainty for scRNA-seq counts
por: Van Buren, Scott, et al.
Publicado: (2021)

TF-Marker: a comprehensive manually curated database for transcription factors and related markers in specific cell and tissue types in human
por: Xu, Mingcong, et al.
Publicado: (2021)

Probing regenerative heterogeneity of corticospinal neurons with scRNA-Seq
por: Kim, Hugo, et al.
Publicado: (2023)

A Comparison of Cell-Cell Interaction Prediction Tools Based on scRNA-seq Data
por: Xie, Zihong, et al.
Publicado: (2023)

scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data
por: Wang, HaiYun, et al.
Publicado: (2022)

scX: A user-friendly tool for scRNA-seq exploration
por: Waichman, Tomás Vega, et al.
Publicado: (2023)

Intrinsic entropy model for feature selection of scRNA-seq data
por: Li, Lin, et al.
Publicado: (2022)

Integration of scRNA-Seq and Bulk RNA-Seq to Analyse the Heterogeneity of Ovarian Cancer Immune Cells and Establish a Molecular Risk Model
por: Liang, Leilei, et al.
Publicado: (2021)

A reference-free approach for cell type classification with scRNA-seq
por: Sun, Qi, et al.
Publicado: (2021)

SCExecute: custom cell barcode-stratified analyses of scRNA-seq data
por: Edwards, Nathan, et al.
Publicado: (2022)

Evaluation of pulmonary single‐cell identity specificity in scRNA‐seq analysis
por: Liu, Xuanqi, et al.
Publicado: (2022)

Cell type-specific interaction analysis using doublets in scRNA-seq
por: Schiebout, Courtney, et al.
Publicado: (2023)

Exploring PANoptosis in breast cancer based on scRNA-seq and bulk-seq
por: He, Puxing, et al.
Publicado: (2023)

Comparison and evaluation of statistical error models for scRNA-seq
por: Choudhary, Saket, et al.
Publicado: (2022)

Contrastive self-supervised clustering of scRNA-seq data
por: Ciortan, Madalina, et al.
Publicado: (2021)

Domain adaptation for supervised integration of scRNA-seq data
por: Sun, Yutong, et al.
Publicado: (2023)

Identify differential genes and cell subclusters from time-series scRNA-seq data using scTITANS
por: Shao, Li, et al.
Publicado: (2021)

Comprehensive analyses of brain cell communications based on multiple scRNA‐seq and snRNA‐seq datasets for revealing novel mechanism in neurodegenerative diseases
por: Zhang, Chunlong, et al.
Publicado: (2023)

Boosting scRNA-seq data clustering by cluster-aware feature weighting
por: Li, Rui-Yi, et al.
Publicado: (2021)

scDART: integrating unmatched scRNA-seq and scATAC-seq data and learning cross-modality relationship simultaneously
por: Zhang, Ziqi, et al.
Publicado: (2022)

Statistics or biology: the zero-inflation controversy about scRNA-seq data
por: Jiang, Ruochen, et al.
Publicado: (2022)

TraSig: inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data
por: Li, Dongshunyi, et al.
Publicado: (2022)

Direct-seq: programmed gRNA scaffold for streamlined scRNA-seq in CRISPR screen
por: Song, Qingkai, et al.
Publicado: (2020)

LRT: Integrative analysis of scRNA-seq and scTCR-seq data to investigate clonal differentiation heterogeneity
por: Xie, Juan, et al.
Publicado: (2023)

Detection of cell markers from single cell RNA-seq with sc2marker
por: Li, Ronghui, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_uaai0sd1k2c328mq5g5ve8onj0