UNLABELLED Sample classification and class prediction is the aim of many gene expression studies. We present a web-based application, Prophet, which builds prediction rules and allows using them for further sample classification. Prophet automatically chooses the best classifier, along with the optimal selection of genes, using a strategy that renders unbiased cross-validated errors. Prophet is...

By successfully solving the problem of forecasting, processes in work various companies are optimized and savings achieved. In this process, analysis time series data is particular importance. Since creation Facebook's Prophet, Amazon's DeepAR+ CNN-QR forecasting models, algorithms have attracted a great deal attention. The paper presents application comparison above for sales distribution comp...

Consider a gambler who observes a sequence of independent, non-negative random numbers and is allowed to stop the sequence at any time, claiming a reward equal to the most recent observation. The famous prophet inequality of Krengel, Sucheston, and Garling asserts that a gambler who knows the distribution of each random variable can achieve at least half as much reward, in expectation, as a "pr...

background: this study attempted to investigate traffic accident fatalities during 2004-2009 and the effect of fuel rationing on traffic accident fatalities .   materials and methods: this was a cross-sectional study on available data of all traffic accident fatalities in fars province, iran, during 2004-2009. to identify and fit the best model, various instruments, including the autocorrelatio...

multiple sclerosis (ms) is one of the autoimmune diseases with an unknown cause. the aim of this study was to explore the link between air quality and ms relapses in patients who suffer from ms.this time-series study was conducted on patients registered at the iranian multiple sclerosis society in 2011-2012. they were randomly selected from patients lived in tehran in the last five years, and h...

Background: COVID-19 has become a primary public health issue in various countries across the world. The main difficulty managing outbreaks of infectious diseases is due to difference geographical, demographic, economic inequalities and people's behavior each region. spread disease acts like series diverse regional outbreaks; part its transmission pattern. Objective: This study aims assess asso...

When will a server fail catastrophically in an industrial datacenter? Is it possible to forecast these failures so preventive actions can be taken to increase the reliability of a datacenter? To answer these questions, we have studied what are probably the largest, publicly available datacenter traces, containing more than 104 million events from 12,500 machines. Among these samples, we observe...

Demand forecasting is one of the biggest challenges post-pandemic logistics. It appears that logistics management based on demand prediction can be a suitable alternative to just-in-time concept. This study aims identify effectiveness AI-based and statistical models versus practice-based for SMEs large enterprises in practice. The compares Prophet model with models, artificial intelligence, hyb...

This paper studies the prediction of interbank offered rate changes in each working day. Using actual data day China’s from 2007 to 2019, this sets up ARIMA, Prophet, grey model and MTGNN study verify time series data, make a comparison between these models. The limitation is that it does not consider impact macroeconomic characteristics but only considers predict series. results are expected b...