Publicacións (51) Publicacións de Idoia Ochoa

2024

  1. EMVC-2: an efficient single-nucleotide variant caller based on expectation maximization

    Bioinformatics, Vol. 40, Núm. 3

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

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

  3. 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

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

    Nature Communications, Vol. 15, Núm. 1

  5. 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. Analysis of Machine Learning Algorithms for USRP-based Smart Chipless RFID Readers

    17th European Conference on Antennas and Propagation, EuCAP 2023

  2. Chipless RFID Tag Implementation and Machine-Learning Workflow for Robust Identification

    IEEE Transactions on Microwave Theory and Techniques, Vol. 71, Núm. 12, pp. 5147-5159

  3. Chipless Wireless Sensor Coupled With Machine Learning for Oil Temperature Monitoring

    IEEE Sensors Journal, Vol. 23, Núm. 18, pp. 21234-21245

  4. Phertilizer: Growing a clonal tree from ultra-low coverage single-cell DNA sequencing of tumors

    PLoS Computational Biology, Vol. 19, Núm. 10

  5. Suitability of machine learning for atrophy and fibrosis development in neovascular age-related macular degeneration

    Acta Ophthalmologica

2022

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

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

  2. Nanopore quality score resolution can be reduced with little effect on downstream analysis

    Bioinformatics Advances, Vol. 2, Núm. 1

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

    Communications Biology, Vol. 5, Núm. 1

  4. Unsupervised ensemble learning for genome sequencing

    Pattern Recognition, Vol. 129

2021

  1. DZip: Improved general-purpose loss less compression based on novel neural network modeling

    Data Compression Conference Proceedings

  2. Moss enables high sensitivity single-nucleotide variant calling from multiple bulk DNA tumor samples

    Nature Communications, Vol. 12, Núm. 1

  3. RENANO: A REference-based compressor for NANOpore FASTQ files

    Bioinformatics, Vol. 37, Núm. 24, pp. 4862-4864

  4. mspack: efficient lossless and lossy mass spectrometry data compression

    Bioinformatics, Vol. 37, Núm. 21, pp. 3923-3925

2020

  1. CROMqs: An infinitesimal successive refinement lossy compressor for the quality scores

    Journal of Bioinformatics and Computational Biology, Vol. 18, Núm. 6

  2. DZip: Improved general-purpose lossless compression based on novel neural network modeling

    Data Compression Conference Proceedings