Identification of a Core Set of Rhizobial Infection Genes Using Data From Single Cell-Types

Frontiers in Plant Science - Switzerland
doi 10.3389/fpls.2015.00575
Full Text
Abstract

Available in full text

Categories
Plant Science
Date
Authors
Publisher

Frontiers Media SA

Related search

Identification of the Core Set of Carbon-Associated Genes in a Bioenergy Grassland Soil

PLoS ONE
Multidisciplinary
2016English

A Hybrid Clustering Algorithm for Identifying Cell Types From Single-Cell RNA-Seq Data

Genes
Genetics
2019English

Jointly Defining Cell Types From Multiple Single-Cell Datasets Using LIGER

2020English

Subpopulation Identification for Single-Cell RNA-sequencing Data Using Functional Data Analysis

2019English

Single Naive CD4+ T Cells From a Diverse Repertoire Produce Different Effector Cell Types During Infection

Cell
BiochemistryGeneticsMolecular Biology
2013English

Identification of XMRV Infection-Associated microRNAs in Four Cell Types in Culture

PLoS ONE
Multidisciplinary
2012English

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

Development of a Core Outcome Set for Clinical Trials in Inflammatory Bowel Disease: Study Protocol for a Systematic Review of the Literature and Identification of a Core Outcome Set Using a Delphi Survey

BMJ Open
Medicine
2017English

Identification of Functionally Related Genes Using Data Mining and Data Integration: A Breast Cancer Case Study

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2009English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy