Identification of Differentially Expressed snoRNAs in Ovarian Cancer From RNA-Seq Data

Canadian Journal of Biotechnology
doi 10.24870/cjb.2017-a50
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Science Planet Inc.

Related search

Identification of Differentially Expressed Genes in the Development of Osteosarcoma Using RNA-seq

Oncotarget
Oncology
2016English

A Comparison of Statistical Methods for Detecting Differentially Expressed Genes From RNA-seq Data

American Journal of Botany
EvolutionEcologyGeneticsSystematicsPlant ScienceBehavior
2012English

Identification of Differentially Expressed Genes in Porcine Ovaries at Proestrus and Estrus Stages Using RNA-Seq Technique

BioMed Research International
ImmunologyMolecular BiologyBiochemistryMicrobiology MedicineGenetics
2018English

Identifying Stably Expressed Genes From Multiple RNA-Seq Data Sets

PeerJ
GeneticsMolecular BiologyBiochemistryBiological SciencesMedicineAgriculturalNeuroscience
2016English

omniCLIP: Probabilistic Identification of Protein-Rna Interactions From CLIP-seq Data

Genome Biology
2018English

Identification of Novel Mutations of Ovarian Cancer-Related Genes From RNA-sequencing Data for Japanese Epithelial Ovarian Cancer Patients

Endocrine Journal
EndocrinologyMetabolismDiabetes
2020English

Identification of Differentially Expressed Genes in Budd‑Chiari Syndrome by RNA‑sequencing

Molecular Medicine Reports
OncologyGeneticsMolecular BiologyBiochemistryCancer ResearchMolecular Medicine
2017English

Biomarker Identification From RNA-Seq Data Using a Robust Statistical Approach

Bioinformation
2018English

A Note on an Exon-Based Strategy to Identify Differentially Expressed Genes in RNA-Seq Experiments

PLoS ONE
Multidisciplinary
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy