scClustViz – Single-Cell RNAseq Cluster Assessment and Visualization

F1000Research - United Kingdom
doi 10.12688/f1000research.16198.1
Full Text
Abstract

Available in full text

Date
Authors
Publisher

F1000 Research Ltd

Related search

A Fast and Efficient Count-Based Matrix Factorization Method for Detecting Cell Types From Single-Cell RNAseq Data

BMC Systems Biology
Molecular BiologyApplied MathematicsStructural BiologySimulationComputer Science ApplicationsModeling
2019English

Scalable Visualization for High-Dimensional Single-Cell Data

2016English

Single Cell RNAseq Provides a Molecular and Cellular Cartography of Changes to the Human Endometrium Through the Menstrual Cycle

Fertility and Sterility
GynecologyReproductive MedicineObstetrics
2018English

Cluster Similarity Spectrum Integration of Single-Cell Genomics Data

2020English

Nuclei Isolation From Mouse Lung for Single Nucleus RNASeq V1 (protocols.io.bdv2i68e)

2020English

Cluster and Calendar Based Visualization of Time Series Data

English

Chip Based Single Cell Analysis for Nanotoxicity Assessment

Analyst, The
BiochemistryEnvironmental ChemistryAnalytical ChemistryElectrochemistrySpectroscopy
2014English

Sialome Diversity of Ticks Revealed by RNAseq of Single Tick Salivary Glands

PLoS Neglected Tropical Diseases
PharmacologyPublic HealthEnvironmentalToxicologyInfectious DiseasesPharmaceuticsOccupational Health
2018English

proTRAC - A Software for Probabilistic piRNA Cluster Detection, Visualization and Analysis

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy