bakirillov/gist:a7df4d4f1eacf6c9f2ef9c7c0620274a

## gistfile1.txt
1. Anaïs Le Rhun, Andrés Escalera-Maurer, Majda Bratovič, and Emmanuelle Charpentier. Crispr-cas in streptococcus pyogenes. RNA biology, 16(4):380–389, 2019.
2. Kira S Makarova, Yuri I Wolf, Jaime Iranzo, Sergey A Shmakov, Omer S Alkhnbashi, Stan JJ Brouns, Emmanuelle Charpentier, David Cheng, Daniel H Haft, Philippe Horvath, et al. Evolutionary classification of crispr–cas systems: a burst of class 2 and derived variants. Nature Reviews Microbiology, 18(2):67–83, 2020.
3. Simon A Jackson, Rebecca E McKenzie, Robert D Fagerlund, Sebastian N Kieper, Peter C Fineran, and Stan JJ Brouns. Crispr-cas: adapting to change. Science, 356(6333):eaal5056, 2017.
4. Yongmoon Jeon, You Hee Choi, Yunsu Jang, Jihyeon Yu, Jiyoung Goo, Gye- jun Lee, You Kyeong Jeong, Seung Hwan Lee, In-San Kim, Jin-Soo Kim, et al. Direct observation of dna target searching and cleavage by crispr-cas12a. Na- ture communications, 9(1):2777, 2018.
5. Alkhnbashi, Omer S., et al. "CRISPRstrand: predicting repeat orientations to determine the crRNA-encoding strand at CRISPR loci." Bioinformatics 30.17 (2014): i489-i496.
6. Sabour, Sara, Nicholas Frosst, and Geoffrey E. Hinton. "Dynamic routing between capsules." Advances in neural information processing systems 30 (2017).
7. http://www.kimberlyfessel.com/mathematics/applications/gini-use-cases/
8. Scott Fortmann-Roe. Understanding the bias-variance tradeoff. URL: http://scott. fortmann-roe. com/docs/BiasVariance. html (hämtad 2019-03- 27), 2012.
9. Pérez-Cruz F. et al. Gaussian processes for nonlinear signal processing: An overview of recent advances //IEEE Signal Processing Magazine. – 2013. – Т. 30. – №. 4. – С. 40-50.
10. https://www.aidanscannell.com/post/gaussian-process-regression/
	1. Anaïs Le Rhun, Andrés Escalera-Maurer, Majda Bratovič, and Emmanuelle Charpentier. Crispr-cas in streptococcus pyogenes. RNA biology, 16(4):380–389, 2019.
	2. Kira S Makarova, Yuri I Wolf, Jaime Iranzo, Sergey A Shmakov, Omer S Alkhnbashi, Stan JJ Brouns, Emmanuelle Charpentier, David Cheng, Daniel H Haft, Philippe Horvath, et al. Evolutionary classification of crispr–cas systems: a burst of class 2 and derived variants. Nature Reviews Microbiology, 18(2):67–83, 2020.
	3. Simon A Jackson, Rebecca E McKenzie, Robert D Fagerlund, Sebastian N Kieper, Peter C Fineran, and Stan JJ Brouns. Crispr-cas: adapting to change. Science, 356(6333):eaal5056, 2017.
	4. Yongmoon Jeon, You Hee Choi, Yunsu Jang, Jihyeon Yu, Jiyoung Goo, Gye- jun Lee, You Kyeong Jeong, Seung Hwan Lee, In-San Kim, Jin-Soo Kim, et al. Direct observation of dna target searching and cleavage by crispr-cas12a. Na- ture communications, 9(1):2777, 2018.
	5. Alkhnbashi, Omer S., et al. "CRISPRstrand: predicting repeat orientations to determine the crRNA-encoding strand at CRISPR loci." Bioinformatics 30.17 (2014): i489-i496.
	6. Sabour, Sara, Nicholas Frosst, and Geoffrey E. Hinton. "Dynamic routing between capsules." Advances in neural information processing systems 30 (2017).
	7. http://www.kimberlyfessel.com/mathematics/applications/gini-use-cases/
	8. Scott Fortmann-Roe. Understanding the bias-variance tradeoff. URL: http://scott. fortmann-roe. com/docs/BiasVariance. html (hämtad 2019-03- 27), 2012.
	9. Pérez-Cruz F. et al. Gaussian processes for nonlinear signal processing: An overview of recent advances //IEEE Signal Processing Magazine. – 2013. – Т. 30. – №. 4. – С. 40-50.
	10. https://www.aidanscannell.com/post/gaussian-process-regression/