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PathActMarker: an R package for inferring pathway activity of complex diseases

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Conclusion

We developed PathActMarker, an R package for inferring pathway activity of complex diseases. The package integrates widely used normalization methods for gene expression data and provides pathway data from six sources. Meanwhile, eight state-of-the-art tools can be used to convert the high-dimensional gene expression data into a biologically interpretable low-dimensional pathway activity matrix, and extensive evaluations are also included to measure the performance of these tools. The package also contains functions to identify important pathways as biomarkers based on statistical and machine learning algorithms, and provides a set of functions for interpretation and analysis.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (Grant No. 62202383), Guangdong Basic and Applied Basic Research Foundation (No. 2024A1515012602), and the National Key Research and Development Program of China (No. 2022YFD1801200).

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Authors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, Xi’an, 710072, China

    Xingyi Li, Jun Hao, Xingyu Liao & Xuequn Shang

  2. Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518063, China

    Xingyi Li & Junming Li

  3. School of Software, Northwestern Polytechnical University, Xi’an, 710072, China

    Zhelin Zhao & Junming Li

  4. Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, China

    Min Li

Authors
  1. Xingyi Li

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  2. Jun Hao

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  3. Zhelin Zhao

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  4. Junming Li

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  5. Xingyu Liao

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  6. Min Li

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  7. Xuequn Shang

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Corresponding authors

Correspondence toXingyu Liao,Min Li orXuequn Shang.

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Competing interests The authors declare that they have no competing interests of financial conflicts to disclose.

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Li, X., Hao, J., Zhao, Z.et al. PathActMarker: an R package for inferring pathway activity of complex diseases.Front. Comput. Sci.19, 193908 (2025). https://doi.org/10.1007/s11704-024-40420-y

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