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Deep clustering of single-cell RNA-seq using adversarial graph contrastive learning. [PDF]
Van Vinh L +4 more
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Single cell RNA seq reveals the pro-regenerative phenotype of thrombospondin-2 deficient dermal fibroblasts. [PDF]
Huang Y +6 more
europepmc +1 more source
Characterization of the Biochemical Recurrence Prediction Ability and Progression Correlation of Peroxiredoxins Family in Prostate Cancer Based on Integrating Single-Cell RNA-Seq and Bulk RNA-Seq Cohorts. [PDF]
Tang S +15 more
europepmc +1 more source
Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels the molecular feature of tumor-associated neutrophils of head and neck squamous cell carcinoma. [PDF]
Cui H +9 more
europepmc +1 more source
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RNA-Seq UD: A bioinformatics plattform for RNA-Seq analysis
2015 10th Iberian Conference on Information Systems and Technologies (CISTI), 2015In this work is presented a process of design and building of a software that gather the tools required for a RNA-Seq data bioinformatics research. From the proposed a workflow is proposed that represents all a process that goes through the main stages of the treatment of transcriptomic and next generation sequencing data, such as preprocessing ...
Miguel A. RamÃrez +2 more
openaire +2 more sources
With a modified polymerase and optimized oligonucleotide chemistry, Helicos' single-molecule sequencer takes on RNA.
openaire +1 more source
RNA-Seq: a revolutionary tool for transcriptomics [PDF]
(Uploaded by Plazi for the Bat Literature Project) RNA-Seq is a recently developed approach to transcriptome profiling that uses deep-sequencing technologies. Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes.
Zhong Wang +2 more
exaly +4 more sources

