Publications (12) Guillermo Serrano Sanz publications

2024

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

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

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

    Nature Communications, Vol. 15, Núm. 1

2023

  1. Single-cell dissection of aggression in honeybee colonies

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

  2. 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. Whole exome sequencing characterization of individuals presenting extreme phenotypes of high and low risk of developing tobacco-induced lung adenocarcinoma

    Translational Lung Cancer Research, Vol. 10, Núm. 3, pp. 1327-1337

2020

  1. DeepMSPeptide: Peptide detectability prediction using deep learning

    Bioinformatics, Vol. 36, Núm. 4, pp. 1279-1280

  2. UPEFinder: A Bioinformatic Tool for the Study of Uncharacterized Proteins Based on Gene Expression Correlation and the PageRank Algorithm

    Journal of Proteome Research, Vol. 19, Núm. 12, pp. 4795-4807

2019

  1. Identification of coding and long noncoding RNAs differentially expressed in tumors and preferentially expressed in healthy tissues

    Cancer Research, Vol. 79, Núm. 20, pp. 5167-5180