@inproceedings{0434bf7ce5b24732a1a1e03e419bc61b,
title = "Automation of Gene Expression Profile Analysis in Single Cell Data",
abstract = "We designed and implemented an automated system, named Pierse for pattern recognition of single cell transcriptomics (SCT) data. The Pierse system takes sparse matrices and corresponding metadata as input to generate SCDC profiles (SCT gene expression profiles characteristic of types or subtypes of cells). These profiles can be used for profile comparison, feature extraction, and differential gene expression analysis. Hierarchical clustering is used for similarity analysis between SCDC profiles and resulting heatmaps are produced. We performed a demonstration study to test functional modules in the Pierse system. To improve efficiency, we deployed parallel programming scripts and implemented efficient matrix analysis functions in the demonstration study.",
keywords = "SCT pattern recognition system, gene expression profiles, hierarchical clustering, profile comparison",
author = "Yihan Zhang and Luning Yang and Vladimir Brusic",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020 ; Conference date: 16-12-2020 Through 19-12-2020",
year = "2020",
month = dec,
day = "16",
doi = "10.1109/BIBM49941.2020.9313510",
language = "English",
series = "Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1329--1334",
editor = "Taesung Park and Young-Rae Cho and Hu, {Xiaohua Tony} and Illhoi Yoo and Woo, {Hyun Goo} and Jianxin Wang and Julio Facelli and Seungyoon Nam and Mingon Kang",
booktitle = "Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020",
address = "United States",
}