Stephanie Hicks (Johns Hopkins) – Frontiers in Computational Biosciences Seminar Series
Stephanie Hicks, Associate Professor, Johns Hopkins University Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
Stephanie Hicks, Associate Professor, Johns Hopkins University Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
This workshop will cover the basic principles involved in the applications mentioned above, such as pattern recognition, linear and non-linear regression and cluster analysis. The workshop will be oriented towards […]
This 3-day interactive workshop introduces the overarching principles guiding generative modeling and specifically Large-Scale Language Models (LLM), their application in Python for inference, and specific use-cases in Genomics. Experience with Python is necessary, and basic knowledge about ML workflows is preferred. At the end of this workshop, you WILL be comfortable with loading, inferencing and […]
Leng Han, David Brown Chair Professor in Genomic Medicine Department of Biostatistics and Health Data Science Brown Center for Immunotherapy, Indiana University School of Medicine Harnessing Big Data for Precision Medicine Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
The analysis of imaging datasets is both exciting and challenging. New and increasingly powerful techniques try to maximize the information derived from multi-dimensional imaging datasets. Yet, every dataset can be […]
The goal of the workshop is to enable the participants to submit and rationally evaluate results of the AlphaFold protein structure predictions. The class will cover the basic principles of […]
Through this seminar, attendees will walk away knowing when and how to run modern versions of traditional statistical analysis. These tests and the underlying bioinformatical lesson about resampling will be […]
Spatial transcriptomics is an emerging field that bridges molecular biology and anatomy. Over the last decade, a battery of assays have been developed that profile gene expression in-situ, i.e, measuring the abundances of mRNA molecules in cells and tissues while retaining information about their spatial locations. This workshop will introduce the basic concepts, major techniques, […]
Daniella Meeker, Associate Professor of Biomedical Informatics & Data Science, Chief Research Information Officer, Yale New Haven Health System Watch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A