https://www.nealelab.is/blog/2017/9/13/heritability-101-what-is-heritability
Posts Tagged ‘tutorial’
Heritability 101: What is “heritability”? — Neale lab
December 26, 2025Glucose Manuscripts
September 14, 2025some tutorials on flow-matching:
https://arxiv.org/pdf/2412.06264
https://arxiv.org/pdf/2506.02070
Lipman, Y., Havasi, M., Holderrieth, P., Shaul, N., Le, M., Karrer, B., Chen, R. T. Q., Lopez-Paz, D., Ben-Hamu, H., & Gat, I. (2024, December 9). Flow matching guide and code. arXiv.org.
https://arxiv.org/abs/2412.06264
(Sometimes difficult to follow formalism)
Holderrieth, P., & Erives, E. (2025). MIT Class 6.S184: Generative AI with Stochastic Differential equations (pp. 1–52).
https://arxiv.org/pdf/2506.02070
OR
Holderrieth, P., & Erives, E. (2025, June 2). An introduction to flow matching and diffusion models. arXiv.org.
https://arxiv.org/abs/2506.02070
(Very intuitive!!!)
A computational pipeline for spatial mechano-transcriptomics | Nature Methods
September 7, 2025https://www.nature.com/articles/s41592-025-02618-1
Hallou, A., He, R., Simons, B. D., & Dumitrascu, B. (2025). A computational pipeline for spatial mechano-transcriptomics. Nature Methods. https://doi.org/10.1038/s41592-025-02618-1
Reviews:
https://www.nature.com/articles/s41580-023-00583-1#Sec35
(difficult to follow)
Combining with Spatial transcriptomics:
https://www.nature.com/articles/s41592-025-02618-1
(new thing)
The Algorithmic Foundations of Differential Privacy
July 14, 2025https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf
The Algorithmic Foundations of Differential Privacy
Cynthia Dwork
Microsoft Research, USA
Aaron Roth
University of Pennsylvania, USA
Foundations and Trends in Theoretical Computer Science, NOW Publishers. 2014.
a few documents from our meeting
July 12, 2025Gilbert, J. A., & Hartmann, E. M. (2024). The indoors microbiome and human health. Nature Reviews Microbiology, 22(12), 742–755.
https://doi.org/10.1038/s41579-024-01077-3
An updated 2024 indoor microbiome and human health review from Nature Reviews Microbiology.
Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development – PMC
June 10, 2025https://pmc.ncbi.nlm.nih.gov/articles/PMC11513550/
Ponce‐Bobadilla, A. V., Schmitt, V., Maier, C. S., Mensing, S., & Stodtmann, S. (2024). Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development. Clinical and Translational Science, 17(11).
https://doi.org/10.1111/cts.70056
Suffix Array and BWT Explaination
May 18, 2025The book with a nice explanation of suffix array and BWT is
Bioinformatics Algorithms: An Active Learning Approach by Phillip Compeau & Pavel Pevzner. https://www.bioinformaticsalgorithms.org/
Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities | Nature Reviews Neurology
May 17, 2025https://www.nature.com/articles/s41582-020-0389-4
Tabrizi, S. J., Flower, M. D., Ross, C. A., & Wild, E. J. (2020). Huntington disease: new insights into molecular pathogenesis and therapeutic opportunities. Nature Reviews Neurology, 16(10), 529–546. https://doi.org/10.1038/s41582-020-0389-4
lecture note on mixed state and density matrix
May 11, 2025https://www.henryyuen.net/classes/spring2022/
https://www.henryyuen.net/spring2022/lec2-mixed-states.pdf
lecture notes on mixed states and density matrix.
QT:{{”
Frontiers of Quantum Complexity and Cryptography Lecture 2 – Mixed States and Density Matrices
Lecturer: Henry Yuen Spring 2022
Scribes: Melody Hsu
In the third lecture, we wrapped up a review of the foundational concepts we will need to tackle
later topics, and then started our first quantum complexity topic, state tomography. We briefly
discussed several ways to analyze probabilistic mixtures of quantum states; after the conclusion of
the review, we explored lower bounds on complexity of a classic tomography protocol.
“}}
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