Model Types

• Linear Model: captures genes profiles with linear expression changes over time, aiding in the study of developmental processes or responses to stimuli.
• Constant Model: identifies genes profiles with stable expression levels over time, serving as internal controls or reference genes.
• Logistic Model: identifies genes profiles exhibiting gradual transitions or switch-like behavior, such as in cell differentiation or fate determination.
• Logarithmic Model: detecting genes profiles with linear growth or decay patterns, related to aging, proliferation, and metabolic processes.
• Exponential Model: identifies genes profiles with exponential growth or decay patterns, applicable to cellular growth and viral replication.
• Power Model: captures genes profiles with power-law relationships, indicating involvement in complex regulatory networks or signaling pathways.
• Trigonometric Model: identifies genes profiles with cyclic or periodic expression patterns, relevant in circadian rhythms and cell cycle progression.
• Quadratic Model: detects genes profiles with concave or convex expression patterns, aiding in the study of biological processes with distinct phases or transitions.

Parameters

• The first five conditions can be arbitrarily selected, and finally enter the gene you want to query, you can get the screening results.



Note: Due to the large amount of data when entering genes, there will be a little delay, wait for a moment.