Immune infiltration analysis by CIBERSORT algorithm.

Immune infiltration analysis by CIBERSORT algorithm.

<p>A-b. Bar graph (A) and group comparison graph (B) of the proportion of immune cells in dataset GSE1428. C. Correlation heat map of immune cells in dataset GSE1428. D. Lollipop map of immune cell infiltration abundance and Model Genes in dataset GSE1428. The absolute value of the correlation...

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Bibliographic Details
Main Author: Lanying Shen (22755930) (author)
Other Authors: Zihan Yi (9467425) (author), Jiahao Liu (2398594) (author), Yinghua Ying (4333828) (author), Yue Hu (201714) (author)
Published: 2025
Subjects:
Medicine
Microbiology
Cell Biology
Genetics
Molecular Biology
Mental Health
Infectious Diseases
Biological Sciences not elsewhere classified
weighted gene co
risk assessment strategies
multiple biological processes
least absolute shrinkage
immune cell populations
idiopathic pulmonary fibrosis
functional enrichment analyses
expression network analysis
examine immune infiltration
could significantly improve
amino acid metabolism
xenobiotic metabolism pathways
interrelated molecular pathways
protein &# 8211
related crosstalk genes
categorize associated pathways
key genes associated
construct diagnostic models
lasso regression identified
identifying er stress
signaling pathways
substantially associated
protein interaction
often associated
diagnostic biomarkers
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therapeutic targets
study aimed
sptssa </
selection operator
response mechanism
kyoto encyclopedia
idi1 </
gstk1 </
foxo1 </
er stress
endoplasmic reticulum
early detection
cibersort method
cellular dysfunction
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Summary:<p>A-b. Bar graph (A) and group comparison graph (B) of the proportion of immune cells in dataset GSE1428. C. Correlation heat map of immune cells in dataset GSE1428. D. Lollipop map of immune cell infiltration abundance and Model Genes in dataset GSE1428. The absolute value of the correlation coefficient (r-value) below 0.3 indicates weak or no correlation, between 0.3 and 0.5 indicates weak correlation, between 0.5 and 0.8 indicates moderate correlation, and above 0.8 indicates strong correlation. Light blue was a Control group and red was a Sarcopenia group. Yellow was a positive correlation, and vine purple was a negative correlation. The depth of the color indicates the strength of the correlation.</p>

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