这门课程的授课老师是Leman Akoglu教授,会涉及到Python的运用,教学内容主要围绕针对大规模数据相关问题,应如何使用Spark进行处理。会涉及到PCA、logistic regression以及linear regression这三种算法,也会对Spark和Hadoop的原理进行详细的讲解。个人感觉这位教授讲的还是比较细致的,课程内容很容易
比如说bayes、clustering、linear regression以及decision tree等等，会运用的编程语言比较多，包括Java、Pyth...
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a, Comparisons of SNAP gene recruitment between cell types. For each pairwise cell type comparison, the LF4 gene loadings of all genes expressed (≥1 unique molecular identifier (UMI) per 105) in both cell types in the comparison (Spearman’sρ;n = 10,346, 11,232 and 11,217 genes...
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regression techniques to facilitate the automation of scheduling decisions. To address the complexity of the problem, they structure it as a multi-task learning framework. Each task corresponds to a specific hardware platform for a given tensor program. This innovative approach allows for improved ...
The main tools used were the Python package Hail for data extraction, plink for genomic associations, and the R packages PheWAS and pgrm for further analysis and visualization. The phenotypes, participant-reported sex at birth, and year of birth were extracted from the All of Us CDR (Controll...
Data analysis included use of the ScanPy pipeline26 and regression for cell cycle genes (see STAR methods), resulting in UMAPs with 18 clusters in SUSA cells and 21 clusters for KLE cells (Figure 2A; Table S2). Download: Download high-res image (3MB) Download: Download full-size image ...
(F) Inflammatory response scores (Hallmark gene set, MSigDB; see STAR Methods) across cell types in Syrian and Roborovski hamsters in infected (2 and 3 dpi) and naive samples. (G) As in (F), but for human datasets split by COVID-19 status. (F and G) Boxplots: box represents quar...
Create a pull request in response to that issue and finally submit it for review. Name your branch username_hello_world_in_c. Also create a directory for any new program if it doesn't exist. eg. hello_world, bubble_sort. Inside these directories you can create your own file named ...