Omics Specific Materials

MLCB24 - Machine Learning in Computational Biology Fall 2024

Description URL
Published Cardiac Segmentation Model
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks https://jcmr-online.biomedcentral.com/articles/10.1186/s12968-018-0471-x
Data Generator Example https://stanford.edu/~shervine/blog/keras-how-to-generate-data-on-the-fly
biologically-informed neural networks GenNet
DAXOS is a Python library designed to efficiently run Dask and XGBoost on SNP data
Pathway annotation and enrichment tests
MB-MDR gene-gene and/or gene-environment interactions http://bio3.giga.ulg.ac.be/index.php/software/mb-mdr/
Steps to avoid overuse and misuse of machine learning in clinical research https://www.nature.com/articles/s41591-022-01961-6
WHO calls for safe and ethical AI for health https://www.who.int/news/item/16-05-2023-who-calls-for-safe-and-ethical-ai-for-health
Dimensionality reduction https://medium.com/@bsinghrathore32/dimensionality-reduction-techniques-day-16-c9ef626c1b88
Confidential Multi-Party AI for Genomics https://compai.oasysnow.com/docs/
Pattern and Knowledge Extraction using Process Data Analytics: A Tutorial https://www.sciencedirect.com/science/article/pii/S240589631831913X?via=ihub
Learning the parts of objects by non-negative matrix factorization https://www.nature.com/articles/44565
Autoencoders https://www.geeksforgeeks.org/types-of-autoencoders/
Multi-omic and multi-view clustering algorithms: review and cancer benchmark https://academic.oup.com/nar/article/46/20/10546/5123392?login=true

General Materials

Educational Links

VIDEOS

Practical Deep Learning for Coders 2022

Full Stack Deep Learning - Spring 2021

Neural Networks: Zero to Hero

Deep Learning With PyTorch

Self-learning

Starting Package Fast

Starting Package Slow

Advanced Package

Further Reading:

Machine Learning:

Deep Learning: