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Sorin Draghici
High-Throughput Genomics Data Analysis
Proteomics Data Analysis
Biomedical Informatics
Machine Learning For Computational Biology
About
Sorin Drăghici is a Professor in the Department of Computer Science at Wayne State University’s James & Patricia Anderson College of Engineering. He is a well‑established researcher in bioinformatics, computational biology, machine learning, neural networks, and biomedical informatics. In addition to his faculty role at Wayne State, he has served in leadership positions including Associate Dean for Entrepreneurship and Innovation and has worked as a Program Director in the Division of Information and Intelligent Systems at the National Science Foundation (NSF). His research contributions include analysis of high‑throughput genomics and proteomics data, and he has published extensively in computational biology and data analysis.
Research Performance Summary
1996-2025
Active Research Span
First Recorded Paper
Some enhancements of the constraint based decomposition training architecture
Year:
1996
Citations:
5
Venue:
Proceedings of International Conference on Neural Networks (ICNN'96) 1
Latest Recorded Paper
CytoAnalyst: A web-based platform for comprehensive single-cell RNA sequencing analysis
Year:
2025
Citations:
0
Venue:
bioRxiv, 2025.04. 14.647594
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Draghici
Tarca
Research Impact by Period
Papers
3
Citations
15
Avg. Citations / Paper
5
H-Index
2
Papers
36
Citations
628
Avg. Citations / Paper
17.4
H-Index
13
Papers
51
Citations
2765
Avg. Citations / Paper
54.2
H-Index
23
Papers
49
Citations
2875
Avg. Citations / Paper
58.7
H-Index
20
Papers
66
Citations
9700
Avg. Citations / Paper
147
H-Index
30
Papers
42
Citations
3510
Avg. Citations / Paper
83.6
H-Index
19
Papers
18
Citations
425
Avg. Citations / Paper
23.6
H-Index
7
Contact and Professional Links
Detected Research Keywords
Systems Biology Approach
Gene Expression Profiling
Weights Neural Networks
Neural Networks Classification
Neoepitope Detection Disease
Detection Disease Protein
Disease Protein Arrays
Gene Expression Data
Limited Precision Weights
Peripheral Whole Blood