Posts Tagged ‘cbb752’

NYTimes: A.I. Is Coming to Class. These Professors Want to Ease Your Worries.

February 14, 2026

https://www.nytimes.com/2026/01/17/nyregion/ai-college-classes.html

UW-Madison BMI/CS 776 Advanced Bioinformatics

February 14, 2026

course website
https://www.biostat.wisc.edu/bmi776/
and https://www.biostat.wisc.edu/bmi776/syllabus.html

canvas for intro bioinformatics. This was the previous website in 2017, https://www.biostat.wisc.edu/bmi576/syllabus.html

CourseTable

January 4, 2026

https://coursetable.com/catalog?selectSortBy=overall&searchText=s%26ds&sortOrder=desc

Reconciling modern machine-learning practice and the classical bias–variance trade-off | PNAS

May 19, 2025

“double descent”

https://www.pnas.org/doi/10.1073/pnas.1903070116

Suffix Array and BWT Explaination

May 18, 2025

The 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, 2025

https://medium.com/edureka/naive-bayes-in-r-37ca73f3e85c

Smith–Waterman algorithm – Wikipedia

February 19, 2025

https://en.wikipedia.org/wiki/Smith%E2%80%93Waterman_algorithm

Navigating the pitfalls of applying machine learning in genomics

February 11, 2025

Whalen, 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

https://www.nature.com/articles/s41576-021-00434-9

Suffix Array and BWT Explaination

February 11, 2025

The 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, 2025

https://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