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 ...

Scandinavian Journal of Statistics, Vol. 32, No. 2 (Jun., 2005), pp. 223-240 (18 pages) We review and extend some statistical tools that have proved useful for analysing functional data. Functional ...

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 168, No. 2 (2005), pp. 267-306 (40 pages) Conventional analytic results do not reflect any source of uncertainty other ...

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.