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data/ | ||
/.quarto/ | ||
/sorting/*.py | ||
/sorting/*.ipynb | ||
_site/ |
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# rosalind | ||
Compilation of Rosalind problems |
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project: | ||
type: website | ||
output-dir: docs | ||
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||
website: | ||
title: "Rosalind" | ||
navbar: | ||
background: transparent | ||
search: true | ||
right: | ||
- icon: github | ||
href: https://github.com/imkhoibui/rosalind | ||
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sidebar: | ||
style: "floating" | ||
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contents: | ||
- section: "Rosalind" | ||
contents: | ||
- rosalind_markdowns/1_10.qmd | ||
- rosalind_markdowns/11_20.qmd | ||
- rosalind_markdowns/21_30.qmd | ||
- rosalind_markdowns/31_40.qmd | ||
- rosalind_markdowns/41_50.qmd | ||
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- section: "Reading comprehension" | ||
contents: | ||
- reading/paper.qmd | ||
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- section: "Sorting algorithms" | ||
contents: | ||
- sorting/sort.qmd | ||
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format: | ||
html: | ||
theme: cosmo | ||
css: styles.css | ||
toc: true |
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<html xmlns="http://www.w3.org/1999/xhtml"> | ||
<head> | ||
<title>Redirect to reading/paper.html</title> | ||
<meta http-equiv="refresh" content="0;URL='reading/paper.html'" /> | ||
</head> | ||
<body> | ||
</body> | ||
</html> |
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[ | ||
{ | ||
"objectID": "sorting/sort.html", | ||
"href": "sorting/sort.html", | ||
"title": "Sorting", | ||
"section": "", | ||
"text": "Here I implement sorting algorithm using insertion sort:\n\nfrom typing import List\n\ndef insertion_sort(ls: List) -> List:\n new_ls = [ls[0]]\n for i in range(1, len(ls)):\n pivot = ls[i]\n \n if pivot >= new_ls[-1]:\n new_ls.append(pivot)\n else:\n for j in range(len(new_ls) -1, -1, -1):\n if pivot >= new_ls[j]:\n new_ls.insert(j+1, pivot)\n break\n elif j == 0:\n new_ls.insert(0, pivot)\n elif pivot < new_ls[j]:\n continue\n return new_ls\n\nTrying on a random list of 10 positive ints\n\na_list = [55, 17, 23, 1, 35, 89, 43, 4, 22, 11]\nprint(insertion_sort(a_list))\n\n[1, 4, 11, 17, 22, 23, 35, 43, 55, 89]", | ||
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{ | ||
"objectID": "reading/paper.html", | ||
"href": "reading/paper.html", | ||
"title": "anti-PD1 treatment for BC patients", | ||
"section": "", | ||
"text": "Full title: A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancer\nDOI: https://doi.org/10.1038/s41591-021-01323-8", | ||
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"anti-PD1 treatment for BC patients" | ||
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"objectID": "reading/paper.html#about-single-cell-rna-seq", | ||
"href": "reading/paper.html#about-single-cell-rna-seq", | ||
"title": "anti-PD1 treatment for BC patients", | ||
"section": "About single-cell RNA-seq", | ||
"text": "About single-cell RNA-seq", | ||
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"objectID": "reading/paper.html#paper-in-general", | ||
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"text": "Paper in general", | ||
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"href": "reading/paper.html#investigative-questions", | ||
"title": "anti-PD1 treatment for BC patients", | ||
"section": "Investigative questions", | ||
"text": "Investigative questions\n\nWhat information to gather from the paper to re-analyze the paper and use the data for future big data research purposes\nRe-analyzing the paper requires:\n\n\n\n\n\nCan you provide an explanation of how single-cell RNA sequencing experiments were specifically designed to study the topic?\n\n\nFrom the paper, list the major cell types and their marker genes\n\n\nFrom the paper, list the cell subtypes\n\n\nWhat information or data was NOT further investigated by the author that might hold potential for significant findings?\n\n\nWhat new knowledge or insights did you acquire from reading this paper, stated in your own words?", | ||
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