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  1. 2841
    “…The paper categorizes and reviews state-of-the-art underlying methods, describes the EnsInfer ensemble approach in detail, and presents experimental results. The source code and data used will be made available to the community upon publication. …”
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    EnsInfer: a simple ensemble approach to network inference outperforms any single method
  2. 2842
    “…This paper is with the purpose of open availability of data resource and source code to the peers for refraining from repeated labor of data preparation. …”
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    A Large-Scale Dataset of Three-Dimensional Solar Magnetic Fields Extrapolated by Nonlinear Force-Free Method
  3. 2843
    “…AVAILABILITY AND IMPLEMENTATION: Source code: https://github.com/alsmeirelles/DADA.…”
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    Online Artículo Texto
    Effective and efficient active learning for deep learning-based tissue image analysis
  4. 2844
    “…AVAILABILITY AND IMPLEMENTATION: The source code is available at https://github.com/BioinfoMachineLearning/EnQA. …”
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    3D-equivariant graph neural networks for protein model quality assessment
  5. 2845
    “…The datasets can be easily assembled by using the source code available at https://github.com/davidbuterez/mf-pcba.…”
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    MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning
  6. 2846
    “…We implement and make available our method as open-source code and show that it is two orders of magnitude faster than simulations and two or more orders of magnitude faster than calculating the exact per-team win probabilities naïvely, without taking into account the substantial computational savings induced by the tournament tree structure. …”
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    Phylourny: efficiently calculating elimination tournament win probabilities via phylogenetic methods
  7. 2847
    “…We demonstrate how to create, convert, and validate phenopackets using the library or the command-line application. Source code, API documentation, comprehensive user guide and a tutorial can be found at https://github.com/phenopackets/phenopacket-tools. …”
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    Phenopacket-tools: Building and validating GA4GH Phenopackets
  8. 2848
    “…We demonstrate that McAN is highly suitable for analyzing and visualizing massive genomic data and is helpful to enhance the understanding of genome evolution. Availability: Source code is written in C/C++ and available at https://github.com/Theory-Lun/McAN and https://ngdc.cncb.ac.cn/biocode/tools/BT007301 under the MIT license. …”
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    McAN: a novel computational algorithm and platform for constructing and visualizing haplotype networks
  9. 2849
    “…As a next step, the simulation and the source code are publicly available for anyone to engage with the simulation or adapt it for their respective learners.…”
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    Disaster Triage Skills Training: An Introductory Virtual Simulation for Medical Students
  10. 2850
    por Yu, Xiaoyu
    Publicado 2023
    “…CONCLUSION: Genofunc is implemented fully in Python and licensed under the MIT license. Source code and documentation is available at: https://github.com/xiaoyu518/genofunc. …”
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    Genofunc: genome annotation and identification of genome features for automated pipelining analysis of virus whole genome sequences
  11. 2851
    “…Moreover, the novel Foldseek Structure Alignment-based Model Generation (FSAMG) method based on AlphaFold-Multimer outperforms the widely used sequence alignment-based model generation. The source code of MULTICOM is available at: https://github.com/BioinfoMachineLearning/MULTICOM3.…”
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    Enhancing AlphaFold-Multimer-based Protein Complex Structure Prediction with MULTICOM in CASP15
  12. 2852
    “…The model code meets the real-time goals of the application and can be applied in other educational simulations. Python model source code is made available. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41077-023-00255-2.…”
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    A white-box model for real-time simulation of acid–base balance in blood plasma
  13. 2853
    por Zhang, Chengxin
    Publicado 2023
    “…CONCLUSION: BeEM is a fast and accurate tool for mmCIF-to-PDB format conversion, which is a common procedure in structural biology. The source code is available under the BSD licence at https://github.com/kad-ecoli/BeEM/.…”
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    BeEM: fast and faithful conversion of mmCIF format structure files to PDB format
  14. 2854
    “…AVAILABILITY AND IMPLEMENTATION: The source code and dataset of DeepITEH have been uploaded to https://github.com/lyli1013/DeepITEH.…”
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    DeepITEH: a deep learning framework for identifying tissue-specific eRNAs from the human genome
  15. 2855
    “…AVAILABILITY AND IMPLEMENTATION: The web server of PhaVIP is available via: https://phage.ee.cityu.edu.hk/phavip. The source code of PhaVIP is available via: https://github.com/KennthShang/PhaVIP.…”
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    PhaVIP: Phage VIrion Protein classification based on chaos game representation and Vision Transformer
  16. 2856
    “…id=brca\_metabric. COmic source code as well as all scripts necessary to reproduce the experiments and analysis are publicly available at https://github.com/jditz/comics.…”
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    COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data
  17. 2857
    “…AVAILABILITY AND IMPLEMENTATION: Source code is available at https://github.com/bayesomicslab/ONT-nonb-GoFAE-DND.…”
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    Deep statistical modelling of nanopore sequencing translocation times reveals latent non-B DNA structures
  18. 2858
    “…AVAILABILITY AND IMPLEMENTATION: The source code and datasets are available at https://github.com/cansyl/TransferLearning4DTI. …”
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    Transfer learning for drug–target interaction prediction
  19. 2859
    “…When compared to the state-of-the-art techniques, UNCALLED and Sigmap, RawHash provides (i) [Formula: see text] and [Formula: see text] better average throughput and (ii) significantly better accuracy for large genomes, respectively. Source code is available at https://github.com/CMU-SAFARI/RawHash.…”
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    RawHash: enabling fast and accurate real-time analysis of raw nanopore signals for large genomes
  20. 2860
    “…CONCLUSIONS: HARU demonstrates that nanopore selective sequencing is possible on resource-constrained devices through rigorous hardware–software optimizations. The source code for the HARU sDTW module is available as open source at https://github.com/beebdev/HARU, and an example application that uses HARU is at https://github.com/beebdev/sigfish-haru.…”
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    Online Artículo Texto
    Efficient real-time selective genome sequencing on resource-constrained devices
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