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Pengjiang Li

4 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.GN3
  • cs.CL1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

q-bio.GN2025

scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing

Ping Xu, Zaitian Wang, Zhirui Wang +5

Cell clustering is crucial for uncovering cellular heterogeneity in single-cell RNA sequencing (scRNA-seq) data by identifying cell types and marker genes. Despite its importance,…

q-bio.GN2025

scUnified: An AI-Ready Standardized Resource for Single-Cell RNA Sequencing Analysis

Ping Xu, Zaitian Wang, Zhirui Wang +7

Single-cell RNA sequencing (scRNA-seq) technology enables systematic delineation of cellular states and interactions, providing crucial insights into cellular heterogeneity. Buildi…

cs.CL2025

SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM

Pengjiang Li, Zaitian Wang, Xinhao Zhang +4

Topic discovery in scientific literature provides valuable insights for researchers to identify emerging trends and explore new avenues for investigation, facilitating easier scien…

q-bio.GN2025

scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data

Ping Xu, Zhiyuan Ning, Pengjiang Li +5

Single-cell RNA sequencing (scRNA-seq) reveals cell heterogeneity, with cell clustering playing a key role in identifying cell types and marker genes. Recent advances, especially g…

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