TítuloPrediction of high anti angiogenic activity peptides in silico using a generalized linear model and feature selection

Prediction of safety parameter using a linear regression technique The cross-validation results obtained in this study (Table 2) showed that the best calibration models obtained

We developed patient-centric models using different machine learning methods to capture the properties of the blood glucose time series of each individual patient.. Therefore, for

Thus, this study was performed to determine the anti- allodynic and anti-hyperalgesic effects and the synergistic anti- nociceptive interaction of morphine and gabapentin,

Another notable work in the identification of Academic Rising Stars using machine learning came in Scientometric Indicators and Machine Learning-Based Models for Predict- ing

This analysis was focused in the global process of the resource selection, namely in terms of the pre-selection and selection phases, requisites, mathematical models, tools and

In this way, the main objective of this thesis was to functionally validate the collective cancer cell movement in PanNETs before and after anti-angiogenic

Using an illustration of the relationship between high performance work systems and firm performance, in this paper we observe that responses provided by managers holding

This project is going to focus on the design, implementation and analysis of a new machine learning model based on decision trees and other models, specifically neural networks..