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  1. 2781
    “…The extensive evaluation data show that the proposed HLAB algorithm outperforms all the seven existing studies on predicting the peptides binding to the HLA-A(*)01:01 allele in AUC and achieves the best average AUC values on the six out of the seven k-mers (k=8,9,...,14, respectively represent the prediction task of a polypeptide consisting of k amino acids) except for the 9-mer prediction tasks. The source code and the fine-tuned feature extraction models are available at http://www.healthinformaticslab.org/supp/resources.php.…”
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    HLAB: learning the BiLSTM features from the ProtBert-encoded proteins for the class I HLA-peptide binding prediction
  2. 2782
    “…Availability and implementation: Source code is freely available at https://github.com/Sherwin-xjtu/PEcnv…”
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    PEcnv: accurate and efficient detection of copy number variations of various lengths
  3. 2783
    “…They impede the readability, understandability, and maintainability of source code. This paper attempts to detect linguistic anti-patterns in Infrastructure-as-Code (IaC) scripts used to provision and manage computing environments. …”
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    FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code
  4. 2784
    “…Events between different coding vocabularies were not mapped code-to-code; for each data source, code lists of labels were curated at the entity/event level. …”
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    Developing a common data model approach for DISCOVER CKD: A retrospective, global cohort of real-world patients with chronic kidney disease
  5. 2785
    “…AVAILABILITY AND IMPLEMENTATION: The source code of the medna-metadata web application is hosted on GitHub (https://github.com/Maine-eDNA/medna-metadata). …”
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    medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata
  6. 2786
    “…Our work provides labeled data, publicly available source code for a set of baseline and DA models, and a benchmark for assessing different brain MR image segmentation techniques. …”
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    A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation
  7. 2787
    “…Therefore, the improved YOLOv5s method improves its applicability in complex field environments and provides a technical reference for the automatic identification of wheat spike numbers and yield estimation. Labeled images, source code, and trained models are available at: https://github.com/228384274/improved-yolov5.…”
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    Detection method of wheat spike improved YOLOv5s based on the attention mechanism
  8. 2788
    “…Furthermore, we check some of the top-ranked GO terms predicted by PFP-GO through multilayer network propagation that affect the 3D structure of the genome. The complete source code of PFP-GO is freely available at https://sites.google.com/view/pfp-go/.…”
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    PFP-GO: Integrating protein sequence, domain and protein-protein interaction information for protein function prediction using ranked GO terms
  9. 2789
    “…The system thus supports findable, accessible, interoperable and reusable (FAIR) research and is in accordance with the Open Science initiative. Source code and documentation of pISA-tree are available at https://github.com/NIB-SI/pISA-tree.…”
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    pISA-tree - a data management framework for life science research projects using a standardised directory tree
  10. 2790
    “…The usefulness of the proposed test is further illustrated with two real microbiome data analyses. The source code of the proposed method is freely available at https://github.com/Jiyuan-NYU-Langone/MECAF. …”
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    A maximum-type microbial differential abundance test with application to high-dimensional microbiome data analyses
  11. 2791
    “…CONCLUSION: TreeQNet service: http://bioinfo.ustc.edu.cn/. TreeQNet source code: https://github.com/Really00/treeqnet-web-front/.…”
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    TreeQNet: a webserver for Treatment evaluation with Quantified Network
  12. 2792
    por Hou, Jialu, Wei, Hang, Liu, Bin
    Publicado 2022
    “…The iPiDA-GCN predictor is able to detect new piRNA-disease associations to reveal the potential pathogenesis at the RNA level. The data and source code are available at http://bliulab.net/iPiDA-GCN/.…”
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    iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network
  13. 2793
    “…AVAILABILITY AND IMPLEMENTATION: SCAFE is implemented in Perl and R. The source code and documentation are freely available for download under the MIT License from https://github.com/chung-lab/SCAFE. …”
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    SCAFE: a software suite for analysis of transcribed cis-regulatory elements in single cells
  14. 2794
    “…Academic Tracker provides highly customizable reporting templates so information about the resulting publications is easily transformed into appropriate formats for tracking and reporting purposes. The source code and extensive documentation is hosted on GitHub (https://moseleybioinformaticslab.github.io/academic_tracker/) and is also available on the Python Package Index (https://pypi.org/project/academic_tracker) for easy installation.…”
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    Academic Tracker: Software for tracking and reporting publications associated with authors and grants
  15. 2795
    “…Lastly, we released the source code presented in this work at https://github.com/enveda/kgem-ensembles-in-drug-discovery.…”
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    Ensembles of knowledge graph embedding models improve predictions for drug discovery
  16. 2796
    “…AVAILABILITY AND IMPLEMENTATION: The source code to reproduce the results described here and a SATINN standalone application with graphic-user interface are available from http://github.com/conradlab/SATINN. …”
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    SATINN: an automated neural network-based classification of testicular sections allows for high-throughput histopathology of mouse mutants
  17. 2797
    “…AVAILABILITY AND IMPLEMENTATION: Source code and documentation are available on https://github.com/maiziex/Aquila_stLFR. …”
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    Aquila_stLFR: diploid genome assembly based structural variant calling package for stLFR linked-reads
  18. 2798
    “…AVAILABILITY AND IMPLEMENTATION: decoupleR’s open-source code is available in Bioconductor (https://www.bioconductor.org/packages/release/bioc/html/decoupleR.html) for R and in GitHub (https://github.com/saezlab/decoupler-py) for Python. …”
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    decoupleR: ensemble of computational methods to infer biological activities from omics data
  19. 2799
    “…AVAILABILITY AND IMPLEMENTATION: Sequoia source code can be found at https://github.com/Khalife/Sequoia with additional documentation. …”
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    Secondary structure assignment of proteins in the absence of sequence information
  20. 2800
    “…AVAILABILITY AND IMPLEMENTATION: All source code, datasets and model are available at http://isyslab.info/Res-Dom/.…”
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    Res-Dom: predicting protein domain boundary from sequence using deep residual network and Bi-LSTM
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