Seongyong Park

Seongyong Park

Postdoctoral Research Fellow at CDSL, NCI/CCR, NIH. Computational cell–cell communication, cytokine activity inference, and clinical biomarker discovery.

Publications

Google Scholar is the most current list; this page mirrors it and groups papers by theme. Bold indicates my name.

Themes: 🫂 cell–cell communication · 🧬 biomarker discovery · 🧩 sparse representation & overlap statistics · 📈 biosignal processing

2026

  1. Ru B, Gong L, Yang E, Park S, Zaki G, Aldape K, Wakefield L, Jiang P. “Inference of secreted protein signaling activities in intercellular communication.” Nature Methods 23(8), 1553–1563 (2026). [website] 🫂

2025

  1. Shin JM, Park S, Shin K, Seo WY, Kim HS, Kim DK, Moon B, Cha SG, et al. “Temporal convolutional neural network-based feature extraction and asynchronous channel information fusion method for heart abnormality detection in phonocardiograms.” Computer Methods and Programs in Biomedicine 269, 108871 (2025). [code] 📈

  2. Park S, Kim S, Jiang P. “IC2Bert: masked gene expression pretraining and supervised fine tuning for robust immune checkpoint blockade (ICB) response prediction.” Scientific Reports 15, 28044 (2025). [code] 🧬

  3. Chang TG, Park S, Schäffer AA, Jiang P, Ruppin E. “Hallmarks of artificial intelligence contributions to precision oncology.” Nature Cancer 6(3), 417–431 (2025). 🧬

2024

  1. Lee SW, Park S, Kim JY, Moon B, Lee D, Jang J, Seo W, Kim HS, Kim SH, et al. “Impact of preanesthetic blood pressure deviations on 30-day postoperative mortality in non-cardiac surgery patients.” Journal of Korean Medical Science 39(35) (2024). 📈

2023

  1. Park S, Wahab A, Usman M, Naseem I, Khan S. “Artificial intelligence in bioimaging and signal processing.” Frontiers in Physiology 14, 1267632 (2023). 📈

  2. Park S, Ibrahim MS, Wahab A, Khan S. “GMDM: A generalized multi-dimensional distribution overlap metric for data and model quality evaluation.” Digital Signal Processing 134, 103930 (2023). 🧩

  3. Fazal E, Ibrahim MS, Park S, Naseem I, Wahab A. “Anticancer peptides classification using kernel sparse representation classifier.” IEEE Access 11, 17626–17637 (2023). 🧩

  4. Park S, Wahab A, Kim M, Khan S. “Self-supervised learning for inter-laboratory variation minimization in surface-enhanced Raman scattering spectroscopy.” Analyst 148(7), 1473–1482 (2023). 📈

2022

  1. Park S, Yi G. “Development of gene expression-based random forest model for predicting neoadjuvant chemotherapy response in triple-negative breast cancer.” Cancers 14(4), 881 (2022). 🧬

  2. Usman M, Khan S, Park S, Wahab A. “AFP-SRC: identification of antifreeze proteins using sparse representation classifier.” Neural Computing and Applications 34(3), 2275–2285 (2022). 🧩

  3. Park S, Lee J, Khan S, Wahab A, Kim M. “Machine learning-based heavy metal ion detection using surface-enhanced Raman spectroscopy.” Sensors 22(2), 596 (2022). 📈

2021

  1. Park S, Lee J, Khan S, Wahab A, Kim M. “SERSNet: Surface-enhanced Raman spectroscopy based biomolecule detection using deep neural network.” Biosensors 11(12), 490 (2021). 📈

  2. Usman M, Khan S, Park S, Lee JA. “AoP-LSE: antioxidant proteins classification using deep latent space encoding of sequence features.” Current Issues in Molecular Biology 43(3), 1489–1501 (2021). 🧩

2020

  1. Park S, Khan S, Moinuddin M, Al-Saggaf UM. “GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1096–1099 (2020). 🧩

  2. Park S, Khan S, Wahab A. “E3-targetPred: Prediction of E3-target proteins using deep latent space encoding.” arXiv:2007.12073 (2020). 🧩

  3. Park S, Khan S. “GSSMD: New metric for robust and interpretable assay quality assessment and hit selection.” arXiv:2001.06384 (2020). 🧩

2017

  1. Lee YH, Choi H, Park S, Lee B, Yi GS. “Drug repositioning for enzyme modulator based on human metabolite-likeness.” BMC Bioinformatics 18(Suppl 7), 226 (2017). 🧬

2011–2012 — experimental microfluidics

  1. Park S, Hong X, Choi WS, Kim T. “Microfabricated ratchet structure integrated concentrator arrays for synthetic bacterial cell-to-cell communication assays.” Lab on a Chip 12(20), 3914–3922 (2012). 🫂

  2. Vinuselvi P, Park S, Kim M, Park JM, Kim T, Lee SK. “Microfluidic technologies for synthetic biology.” International Journal of Molecular Sciences 12(6), 3576–3593 (2011). 🫂

  3. Choi WS, Ha D, Park S, Kim T. “Synthetic multicellular cell-to-cell communication in inkjet printed bacterial cell systems.” Biomaterials 32(10), 2500–2507 (2011). 🫂

  4. Park S, Kim D, Mitchell RJ, Kim T. “A microfluidic concentrator array for quantitative predation assays of predatory microbes.” Lab on a Chip 11(17), 2916–2923 (2011). 🫂

Patents

  • Park S, et al. “Method, computer program, and system for analyzing heart valve abnormalities based on heart murmur.” KR Patent App. 10-2023-0014972 (registered 2025-12-30). 📈
  • Park S, et al. “Pulmonary function test apparatus and method using lung sound.” KR Patent App. 10-2023-0022834 (registered 2023-02-21). 📈
  • Park S, et al. “Method for measuring preload of patients undergoing general anesthesia surgery based on acoustic variability index, and electronic device for executing thereof.” KR Patent App. 10-2023-0021404 (registered 2023-02-17). 📈
  • Min B, Yi G, Park S. “System and method for disease prediction based on group marker consisting of genes having similar function.” KR Patent 10-2236194 (issued 2021-03-30). 🧬
  • Kim T, Park S. “Microfluidic concentrator for communication assays of microbes.” KR Patent 10-1330473 (issued 2013-11-15). 🫂
  • Kim T, Park S. “Microfluidic concentrator array for observing predation behavior of microbes.” KR Patent 10-1238556 (issued 2013-02-22). 🫂

Software

Author.

  • secactpy — Python package for secreted-protein activity inference from bulk and single-cell gene expression (hosted under the Jiang Lab data2intelligence organization). 🫂
  • spatial-gpu — GPU-accelerated spatial kernels for neighborhood activity inference on spatial transcriptomics (Python). 🫂

Contributor (Jiang Lab, NCI; maintainer B. Ru).

  • secact — R package for secreted-protein activity inference.
  • spacet — Spatial Cellular Estimator for Tumors.

Additional software and datasets are ongoing at NCI/CDSL.