Publicaciones (59) Publicaciones de Mikel Hernaez Arrazola Ver datos de investigación referenciados.

2024

  1. Application of Graph Models to the Identification of Transcriptomic Oncometabolic Pathways in Human Hepatocellular Carcinoma

    Biomolecules, Vol. 14, Núm. 6

  2. Efficient and safe therapeutic use of paired Cas9-nickases for primary hyperoxaluria type 1

    EMBO molecular medicine, Vol. 16, Núm. 1, pp. 112-131

  3. GeNNius: an ultrafast drug-target interaction inference method based on graph neural networks

    Bioinformatics (Oxford, England), Vol. 40, Núm. 1

  4. Genie: the first open-source ISO/IEC encoder for genomic data

    Communications Biology, Vol. 7, Núm. 1

  5. NetActivity enhances transcriptional signals by combining gene expression into robust gene set activity scores through interpretable autoencoders

    Nucleic Acids Research, Vol. 52, Núm. 9, pp. e44

  6. Single-cell transcriptional profile of CD34+ hematopoietic progenitor cells from del(5q) myelodysplastic syndromes and impact of lenalidomide

    Nature Communications, Vol. 15, Núm. 1

  7. The oncolytic adenovirus Delta-24-RGD in combination with ONC201 induces a potent antitumor response in pediatric high-grade and diffuse midline glioma models

    Neuro-Oncology, Vol. 26, Núm. 8, pp. 1509-1525

  8. Use of Beacon v2 for Improving Genomics Based Research in a Clinical Setting

    Studies in health technology and informatics, Vol. 316, pp. 1243-1247

  9. Whole exome sequencing and machine learning germline analysis of individuals presenting with extreme phenotypes of high and low risk of developing tobacco-associated lung adenocarcinoma

    eBioMedicine, Vol. 102

2023

  1. Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer

    Cancer research, Vol. 83, Núm. 8, pp. 1361-1380

  2. Identifying key multifunctional components shared by critical cancer and normal liver pathways via SparseGMM

    Cell Reports Methods, Vol. 3, Núm. 1

  3. Microglia and astrocyte activation is region-dependent in the α-synuclein mouse model of Parkinson's disease

    GLIA, Vol. 71, Núm. 3, pp. 571-587

  4. Optimization of universal allogeneic CAR-T cells combining CRISPR and transposon-based technologies for treatment of acute myeloid leukemia

    Frontiers in Immunology, Vol. 14

  5. Single-cell dissection of aggression in honeybee colonies

    Nature Ecology and Evolution, Vol. 7, Núm. 8, pp. 1232-1244

  6. Uncovering perturbations in human hematopoiesis associated with healthy aging and myeloid malignancies at single-cell resolution

    eLife, Vol. 12

2022

  1. CAR density influences antitumoral efficacy of BCMA CAR T cells and correlates with clinical outcome

    Science Advances, Vol. 8, Núm. 39

  2. JIND: Joint integration and discrimination for automated single-cell annotation

    Bioinformatics, Vol. 38, Núm. 9, pp. 2488-2495

  3. SimiC enables the inference of complex gene regulatory dynamics across cell phenotypes

    Communications Biology, Vol. 5, Núm. 1

  4. The transcription factor DDIT3 is a potential driver of dyserythropoiesis in myelodysplastic syndromes

    Nature Communications, Vol. 13, Núm. 1

2021

  1. An Introduction to MPEG-G: The First Open ISO/IEC Standard for the Compression and Exchange of Genomic Sequencing Data

    Proceedings of the IEEE, Vol. 109, Núm. 9, pp. 1607-1622