: Automatically identifies specific AGPAT2 gene mutations within the dataset and flags them for further clinical review.
: Adjusts the difficulty of "One Word Substitution" or "Quantitative Aptitude" questions based on the user's previous accuracy. CGL1.rar
: Replicates the exact Tier 1 exam environment , allowing users to practice under pressure. : Tracks the progression of adipose tissue loss
: Tracks the progression of adipose tissue loss and metabolic complications over time to assist in prenatal and early diagnosis. Feature: Adaptive Mock Test Generator (for SSC CGL Prep) Severe insulin resistance syndromes - JCI If your
: Correlates identified genetic markers with clinical risks such as severe insulin resistance , hypertriglyceridemia , and hepatic steatosis (fatty liver).
: Analyzes performance across sections (General Intelligence, Reasoning, English) to provide a visual "heatmap" of topics that require more focus. Severe insulin resistance syndromes - JCI
If your file is part of a medical research project, a would be a high-impact feature. It would allow researchers to upload genomic data and automatically cross-reference it with known AGPAT2 mutations.
