
Michael A. Skinnider
Articles
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Dec 2, 2024 |
nature.com | Jordan W. Squair |Viviana Aureli |Nicholas James |Laetitia Baud |Michael A. Skinnider |Matthieu Gautier | +12 more
AbstractA spinal cord injury (SCI) disrupts the neuronal projections from the brain to the region of the spinal cord that produces walking, leading to various degrees of paralysis. Here, we aimed to identify brain regions that steer the recovery of walking after incomplete SCI and that could be targeted to augment this recovery.
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Jun 19, 2024 |
nature.com | Michael A. Skinnider |Matthieu Gautier |Claudia Kathe |Thomas Hutson |Achilleas Laskaratos |Viviana Aureli | +7 more
AbstractHere, we introduce the Tabulae Paralytica—a compilation of four atlases of spinal cord injury (SCI) comprising a single-nucleus transcriptome atlas of half a million cells, a multiome atlas pairing transcriptomic and epigenomic measurements within the same nuclei, and two spatial transcriptomic atlases of the injured spinal cord spanning four spatial and temporal dimensions.
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Mar 29, 2024 |
nature.com | Michael A. Skinnider
AbstractGenerative machine learning models have attracted intense interest for their ability to sample novel molecules with desired chemical or biological properties. Among these, language models trained on SMILES (Simplified Molecular-Input Line-Entry System) representations have been subject to the most extensive experimental validation and have been widely adopted.
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Jan 4, 2024 |
nature.com | Michael A. Skinnider
Thirty-four years ago, Curry and Rumelhart described a neural network-based approach to annotate tandem mass spectra. Their ideas foreshadowed several important developments in computational mass spectrometry over the past decade, but many of the challenges they discuss remain relevant today. Refers to Curry, B. & Rumelhart, D. E. MSnet: a neural network which classifies mass spectra. Tetrahedron Comput. Methodol. 3, 213–237 (1990).
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Dec 22, 2023 |
science.org | George M Church |Michael A. Skinnider |Jiezhong Qiu |Oliver Stegle
26 12:00 Register NOWRemaining time: George M. Church, Ph.D.Speaker Michael A. Skinnider, M.D./Ph.D.Speaker Jiezhong Qiu, Ph.D.Speaker Oliver Stegle, Ph.D.Speaker Jackie Oberst, Ph.D.Moderator This webinar is brought to you by the Science/AAAS Custom Publishing Office. Just as Watson and Crick’s helical structure cracked the DNA code, artificial intelligence (AI) is now learning the language of life. Large language models (LLMs) are machine learning systems that can process and generate human...
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