Search Results - "Ascensión, Alex M."

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  1. 1

    Human Dermal Fibroblast Subpopulations Are Conserved across Single-Cell RNA Sequencing Studies by Ascensión, Alex M., Fuertes-Álvarez, Sandra, Ibañez-Solé, Olga, Izeta, Ander, Araúzo-Bravo, Marcos J.

    Published in Journal of investigative dermatology (01-07-2021)
    “…On the basis of their differential location within the dermis and of discrete changes in gene and protein expression, two major fibroblast subtypes (papillary…”
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    Journal Article
  2. 2

    Lack of evidence for increased transcriptional noise in aged tissues by Ibañez-Solé, Olga, Ascensión, Alex M, Araúzo-Bravo, Marcos J, Izeta, Ander

    Published in eLife (28-12-2022)
    “…Aging is often associated with a loss of cell type identity that results in an increase in transcriptional noise in aged tissues. If this phenomenon reflects a…”
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  3. 3

    Inflammation-mediated fibroblast activation and immune dysregulation in collagen VII-deficient skin by Anderson-Crannage, Morgan, Ascensión, Alex M., Ibanez-Solé, Olga, Zhu, Hongwen, Schaefer, Edo, Ottomanelli, Darcy, Hochberg, Bruno, Pan, Jian, Luo, Wen, Tian, Meijuan, Chu, Yaya, Cairo, Mitchell S., Izeta, Ander, Liao, Yanling

    Published in Frontiers in immunology (20-09-2023)
    “…Inflammation is known to play a critical role in all stages of tumorigenesis; however, less is known about how it predisposes the tissue microenvironment…”
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    NaviSE: superenhancer navigator integrating epigenomics signal algebra by Ascensión, Alex M, Arrospide-Elgarresta, Mikel, Izeta, Ander, Araúzo-Bravo, Marcos J

    Published in BMC bioinformatics (06-06-2017)
    “…Superenhancers are crucial structural genomic elements determining cell fate, and they are also involved in the determination of several diseases, such as…”
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  7. 7

    Challenges and Opportunities for the Translation of Single-Cell RNA Sequencing Technologies to Dermatology by Ascensión, Alex M, Araúzo-Bravo, Marcos J, Izeta, Ander

    Published in Life (Basel, Switzerland) (04-01-2022)
    “…Skin is a complex and heterogeneous organ at the cellular level. This complexity is beginning to be understood through the application of single-cell genomics…”
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    Journal Article
  8. 8

    Triku: a feature selection method based on nearest neighbors for single-cell data by M Ascensión, Alex, Ibáñez-Solé, Olga, Inza, Iñaki, Izeta, Ander, Araúzo-Bravo, Marcos J

    Published in Gigascience (12-03-2022)
    “…Abstract Background Feature selection is a relevant step in the analysis of single-cell RNA sequencing datasets. Most of the current feature selection methods…”
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  9. 9

    The need to reassess single-cell RNA sequencing datasets: the importance of biological sample processing [version 2; peer review: 2 approved] by Ascensión, Alex M, Araúzo-Bravo, Marcos J, Izeta, Ander

    Published in F1000 research (2021)
    “…Background: The advent of single-cell RNA sequencing (scRNAseq) and additional single-cell omics technologies have provided scientists with unprecedented tools…”
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    Journal Article
  10. 10

    FOntCell: Fusion of Ontologies of Cells by Cabau-Laporta, Javier, Ascensión, Alex M, Arrospide-Elgarresta, Mikel, Gerovska, Daniela, Araúzo-Bravo, Marcos J

    “…High-throughput cell-data technologies such as single-cell RNA-seq create a demand for algorithms for automatic cell classification and characterization. There…”
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  11. 11

    The need to reassess single-cell RNA sequencing datasets: more is not always better [version 1; peer review: 2 approved with reservations] by Ascensión, Alex M, Araúzo-Bravo, Marcos J, Izeta, Ander

    Published in F1000 research (2021)
    “…Background: The advent of single-cell RNA sequencing (scRNAseq) and additional single-cell omics technologies have provided scientists with unprecedented tools…”
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    Journal Article
  12. 12

    BigMPI4py: Python Module for Parallelization of Big Data Objects Discloses Germ Layer Specific DNA Demethylation Motifs by Ascension, Alex M., Arauzo-Bravo, Marcos J.

    “…Parallelization in Python integrates Message Passing Interface via the mpi4py module. Since mpi4py does not support parallelization of objects greater than…”
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