código de ejemplo de text mining para la concentración de lit

Visualization CY 2024 in lab

Visualization of CY 2024 LAB values

Some issues were dealt with and finally resolved in RStudio but not within Knitr but some subtle changes within the versions of Seurat when normalizing the data and scaling it needed to be made. The clustering portion took too long to process. But working with it some more. Not done with this project, but have the top 10 genes and a database of the expression values and ranking among all single cell RNA sequencing cells. This is great as an addition to our model building towards predicting a pathology of EBV, EBV associated pathology such as mono or MS or Hodgkins or Burkett Lymphoma or nasopharyngeal carcinoma, Lyme disease, and Fibromyalgia. I want to get the other unsupervised algorithms to work as there is a neat little way to find the clusters in added columns might need a whole other computer for it, and then use those genes in supervised learning models with samples given. It would also be great to find a way to get Knitr to print out the results in RStudio. This pathology is related to EBV and the samples have EBV, there is an extension to this learning with single cell RNA sequencing that uses known genes as a conglomerate or group of genes for EBV that could also be pulled from this data and added to own or same database of top 10 genes to compare findings or just use to compare findings acrose our other gene data base as we have each of those.