The present application relates to the technical field of
bioinformatics, in particular to a biological
information analysis system based on
large model technology, which comprises a
data analysis calibration module, a problem disintegration module, an analysis task arrangement module, a result mapping module and a feedback iteration module.In the present application, dynamic calibration of
genome alignment and
clinical phenotype timestamp eliminates
time sequence misplacement deviation, base complementary
pairing combined
protein network abnormal screening enhances low-abundance collaborative variation capture,
genotype-
phenotype discrete distribution quantization unifies multi-
modal data benchmark, solves multi-source heterogeneous
standardization loss, classifies and integrates pathogenic
gene semantic weight, balances statistical threshold and biological function, dynamically optimizes analysis sequence to synchronously cover key
mutation area, improves non-
coding region function
annotation, integrates
gene expression clustering and
protein network topology in three-dimensional distribution, breaks through two-dimensional space limitation, and reduces genetic heterogeneity
false positive rate through closed-loop feedback correction threshold iteration
elimination rule.