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This coffee chat session features a research scholar from academia who shared his perspectives and experience on how AI/ML plays a crucial role in scientific research in conjunction with the applicability of deep learning in profiling 🧬 expression analysis and other studies in molecular biology field. Guest speaker: Lukas Simon, PhD from Baylor College of Medicine http://linkedin.com/in/lukas-simon-01... Reading materials: If you are interested to know more about Lukas’s research work then please take a look at his publications related to implementation of deep learning to single-cell RNA sequencing data: 1. Autoencoders - https://pubmed.ncbi.nlm.nih.gov/30674... 2.Triplet neural networks - https://www.nature.com/articles/s4225... 3.Positive-unlabeled learning - https://pubmed.ncbi.nlm.nih.gov/34430...
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This coffee chat session features a research scholar from academia who shared his perspectives and experience on how AI/ML plays a crucial role in scientific research in conjunction with the applicability of deep learning in profiling 🧬 expression analysis and other studies in molecular biology field. Guest speaker: Lukas Simon, PhD from Baylor College of Medicine http://linkedin.com/in/lukas-simon-01... Reading materials: If you are interested to know more about Lukas’s research work then please take a look at his publications related to implementation of deep learning to single-cell RNA sequencing data: 1. Autoencoders - https://pubmed.ncbi.nlm.nih.gov/30674... 2.Triplet neural networks - https://www.nature.com/articles/s4225... 3.Positive-unlabeled learning - https://pubmed.ncbi.nlm.nih.gov/34430...