Limits Fits And Tolerances Nptel.pdf
Limits Fits And Tolerances Nptel.pdf
I have a list that needs to be formatted to look like this.
The number of columns (the number of values) needs to be adjusted to take into account the change of label_name in the original data structure from u1 to u2.
A:
Try data.table with this logic,
library(data.table)
library(zoo)
DT[, new_label_name := as.character(label_name)][]
You just need to find a way to remove the empty elements from label_name.
Using zoo
As data.table 1.8.8 documentation mentioned,
data.table objects support iteration, so that it is not necessary to use non-vectorized syntax on them as iteration (in C) is supported.
So now you can just loop through the zoo elements,
DT[, new_label_name := zoo::na.locf(label_name)]
DT[, new_label_name := as.character(new_label_name)]
Two-dimensional LC/MS/MS analysis of human plasma to identify and validate peptides.
The analysis of endogenous peptides is an important research area, due to the possible involvement of peptides as biomarkers in various diseases and for their potential function as drug targets. In this study we have developed a protocol for the identification and quantification of endogenous peptides in human plasma using LC/MS/MS. This strategy was applied to the plasma of two clinically distinct populations: healthy volunteers and patients diagnosed with type 2 diabetes. A list of 4092 human peptides from 453 proteins was identified in these samples. Of these, 114 endogenous peptides were differentially expressed between the two groups, which were further validated using stable isotope labeled analogues, and the resulting data were further confirmed by a second analytical method. Using this strategy, we were able to identify peptides that were not previously reported, even in the UniProt database.The present invention relates to methods and compositions for the delivery of therapeutic compositions into the body, and more particularly relates to polymeric compositions for use in a variety of drug delivery and sensing applications.
Recombinant DNA technology permits the production of large quantities of materials in a variety of forms, including DNA and proteins. Pharmaceutical agents comprising such materials have great potential to be used as diagnostic and treatment agents for a variety of diseases. For example, a variety of drugs have been developed which are
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