Universal Closed-Source Models: Such as GPT-5 (1.5 trillion parameters), suitable for complex enterprise-level analysis, supporting 400K context. While the cost for a million tokens is $75, it ...

Regression is a method to estimate parameters in mathematical models of biological systems from experimental data. To ensure the validity of a model for a given data set, pre-regression and post ...

Data-driven modelling approaches such as clustering, principal components analysis and partial least squares can derive biological insights from large-scale experiments.

Fanruan FineChatBI: Summary of the Conversational BI Innovation Data Analysis Process Report ...

Functional Modelling and Classification of Longitudinal Data, Scandinavian Journal of Statistics, Vol. 32, No. 2 (Jun., 2005), pp. 223-240 ...

Sander Greenland, Multiple-Bias Modelling for Analysis of Observational Data, Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 168, No. 2 (2005), pp. 267-306 ...

Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.