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Machine Learning in Computational Biology: Daily Digest

Machine Learning in Computational Biology: Daily Digest

Carlos Oliver
Date de sortie : 2025-11-04
Machine Learning in Computational Biology: Daily Digest - QR Code
LibreNew
9 épisodes
Audio
Écouter sur Apple Podcasts
LibreNew
9 épisodes
Audio
Écouter sur Apple Podcasts
Date de sortie : 2025-11-04
L’épisode le plus récent
04.11.2025: Deep Learning Capture Phases, Transfer Learning for Molecular Discovery, and Generative Structure Retrieval

04.11.2025: Deep Learning Capture Phases, Transfer Learning for Molecular Discovery, and Generative Structure Retrieval

This podcast is brought to you by the Oliver Laboratory at Vanderbilt University. ---------------------------------------- 0:00 Generative Modeling Enables Molecular Structure Retrieval from Coulomb Explosion Imaging (https://arxiv.org/pdf/2511.00179.
Durée : 22:49
Lecture
This podcast is brought to you by the Oliver Laboratory at Vanderbilt University.
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0:00 Generative Modeling Enables Molecular Structure Retrieval from Coulomb Explosion Imaging (https://arxiv.org/pdf/2511.00179.pdf)
4:57 Transfer learning discovery of molecular modulators for perovskite solar cells (https://arxiv.org/pdf/2511.00204.pdf)
9:23 STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape (https://arxiv.org/pdf/2511.01171.pdf)
13:58 Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model (https://arxiv.org/pdf/2511.01277.pdf)
18:22 Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions (https://arxiv.org/pdf/2511.01464.pdf)
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Source code: https://github.com/OliverLaboratory/arxivreader
Contact: oliverlaboratory.com
Source code: https://github.com/OliverLaboratory/arxivreader
Id. d’épisode : 1000735274647
GUID : https://mlcb.nyc3.digitaloceanspaces.com/mlcb/episodes/2025-11-04.mp3
Date de publication : 4/11/2025 à 01:00:00

Description

Daily summaries of preprints in machine learning and computational biology.
Source code: https://github.com/OliverLaboratory/arxivreader

Adresse du flux

https://mlcb.nyc3.digitaloceanspaces.com/mlcb/mlcb.xml

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