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Seongyong Park

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • q-bio.BM1

identity via Semantic Scholar / OpenAlex

most citedE3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

stat.AP2020

GSSMD: A new standardized effect size measure to improve robustness and interpretability in biological applications

Seongyong Park, Shujaat Khan, Muhammad Moinuddin +1

In many biological applications, the primary objective of study is to quantify the magnitude of treatment effect between two groups. Cohens'd or strictly standardized mean differen…

q-bio.BM2020★ 3 cited

E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding

Seongyong Park, Shujaat Khan, Abdul Wahab

Understanding E3 ligase and target substrate interactions are important for cell biology and therapeutic development. However, experimental identification of E3 target relationship…

stat.AP2020

GSSMD: New metric for robust and interpretable assay quality assessment and hit selection

Seongyong Park, Shujaat Khan

In the high-throughput screening (HTS) campaigns, the Z'-factor and strictly standardized mean difference (SSMD) are commonly used to assess the quality of assays and to select hit…

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