In this talk, Alex and Brent describe how Python not only meets these challenges but also drives innovation through the development of novel bioinformatics tools like CITEgeist. Biological datasets often face challenges of high sparsity and noise. CITEgeist harnesses Python’s robust ecosystem to provide an efficient, scalable pipeline that deconvolutes messy spatial signals into actionable, clinically relevant features.
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Speaker
Brent Schlegel
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talks
Graduate Student, PhD in Integrative Systems Biology
University of Pittsburgh School of Medicine
Brent Schlegel is a first-year PhD student in Integrative Systems Biology at the University of Pittsburgh School of Medicine, co-mentored by Drs. Adrian Lee and Steffi Oesterreich. He earned his AS in Mathematics and Sciences from CCAC (2019) and a BS in Computational Biology from Pitt (2021). He previously worked as a Bioinformatics Analyst at the UPMC Children’s Hospital of Pittsburgh, focusing on integrative analysis of large biomedical datasets.
Bio from: September Event: Decoding Spatial Biology with Python
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