“double descent”
Posts Tagged ‘cbb752’
Reconciling modern machine-learning practice and the classical bias–variance trade-off | PNAS
May 19, 2025Suffix 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/
A Step By Step Guide To Implement Naive Bayes In R | by Sahiti Kappagantula | Edureka | Medium
March 2, 2025Smith–Waterman algorithm – Wikipedia
February 19, 2025Navigating the pitfalls of applying machine learning in genomics
February 11, 2025Whalen, S., Schreiber, J., Noble, W. S., & Pollard, K. S. (2021). Navigating the pitfalls of applying machine learning in genomics. Nature Reviews Genetics, 23(3), 169–181.
https://doi.org/10.1038/s41576-021-00434-9
Suffix Array and BWT Explaination
February 11, 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/
Principal component analysis | Nature Reviews Methods Primers
February 4, 2025https://www.nature.com/articles/s43586-022-00184-w
Greenacre, M., Groenen, P. J. F., Hastie, T., D’Enza, A. I., Markos, A., & Tuzhilina, E. (2022). Principal component analysis. Nature Reviews Methods Primers, 2(1).
https://doi.org/10.1038/s43586-022-00184-w
Network Analysis as a Grand Unifier in Biomedical Data Science | Annual Reviews
February 4, 2025https://www.annualreviews.org/content/journals/10.1146/annurev-biodatasci-080917-013444
McGillivray, P., Clarke, D., Meyerson, W., Zhang, J., Lee, D., Gu, M., Kumar, S., Zhou, H., & Gerstein, M. (2018). Network analysis as a grand unifier in biomedical data science. Annual Review of Biomedical Data Science, 1(1), 153–180.
https://doi.org/10.1146/annurev-biodatasci-080917-013444
Scale-free networks – PubMed
February 3, 2025https://pubmed.ncbi.nlm.nih.gov/12701331/
Barabási, A., & Bonabeau, E. (2003). Scale-Free networks. Scientific American, 288(5), 60–69.
https://doi.org/10.1038/scientificamerican0503-60
Comprehensive integration of single-cell data – PMC
February 3, 2025https://pmc.ncbi.nlm.nih.gov/articles/PMC6687398/
(Description of cell type annotation. See fig. 1, which is explained in the beginning of Results section)
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019). Comprehensive integration of Single-Cell data. Cell, 177(7), 1888-1902.e21. https://doi.org/10.1016/j.cell.2019.05.031
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