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A strategy to identify genomic expression at single-cell level or a small number of cells
(Pontificia Universidad Católica de Valparaíso, 2005)
Optimal clone identifier for genomic shotgun libraries: OC Identifier tool
(2007-12-28)
In DNA microarray experiments, the gene fragments that are spotted on the slides are usually obtained by the synthesis of specific oligonucleotides that are able to amplify genes through PCR. Shotgun library sequences are ...
Optimal clone identifier for genomic shotgun libraries: OC Identifier tool
(2007-12-28)
In DNA microarray experiments, the gene fragments that are spotted on the slides are usually obtained by the synthesis of specific oligonucleotides that are able to amplify genes through PCR. Shotgun library sequences are ...
Allele-specific expression analysis reveals conserved and unique features of preimplantation development in equine ICSI embryos
(Society for the Study of Reproduction, 2021-09)
Embryonic genome activation and dosage compensation are major genetic events in early development. Combined analysis of single embryo RNA-seq data and parental genome sequencing was used to evaluate parental contributions ...
Simulation-based benchmarking of isoform quantification in single-cell RNA-seq
(2018)
Abstract
Single-cell RNA-seq has the potential to facilitate isoform quantification as the confounding factor of a mixed population of cells is eliminated. However, best practice for using existing quantification ...
Expression signatures of DNA repair genes correlate with survival prognosis of astrocytoma patients
(2017-04-01)
Astrocytomas are the most common primary brain tumors. They are very resistant to therapies and usually progress rapidly to high-grade lesions. Here, we investigated the potential role of DNA repair genes in astrocytoma ...
Interpretable Deep Embeddings for Single-cell RNA-seq Clustering Analysis via Gene Attention
(Universidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería Sistemas y Computación, 2022-12-16)
This work presents a ZINB model-based denoising autoencoder that offers interpretable deep embeddings through a gene attention mechanism for single-cell RNA-seq clustering. Our method performs a dimensionality reduction ...