Year 2024

• Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing

  Publication

  • K. Pastuszak
  • M. Sieczczyński
  • M. Dzięgielewska
  • R. Wolniak
  • A. Drewnowska
  • M. Korpal
  • L. Zembrzuska
  • A. Supernat
  • A. J. Żaczek

  - Scientific Reports - Year 2024

  Circulating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically...

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Year 2023

• Neural Graph Collaborative Filtering: Analysis of Possibilities on Diverse Datasets

  Publication

  • D. Kobiela
  • J. Groth
  • M. Sieczczyński
  • R. Wolniak
  • K. Pastuszak

  - Year 2023

  This paper continues the work by Wang et al. [17]. Its goal is to verify the robustness of the NGCF (Neural Graph Collaborative Filtering) technique by assessing its ability to generalize across different datasets. To achieve this, we first replicated the experiments conducted by Wang et al. [17] to ensure that their replication package is functional. We received sligthly better results for ndcg@20 and somewhat poorer results for...

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