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Window Size Impact in Human Activity Recognition
TLDR
An extensive study to fairly characterize the windowing procedure, to determine its impact within the activity recognition process and to help clarify some of the habitual assumptions made during the recognition system design is presented. Expand
Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling
TLDR
A new model to find the gene signature of breast cancer cell lines through the integration of heterogeneous data from different breast cancer datasets, obtained from microarray and RNA-Seq technologies is proposed and its performance was validated using previously unseen samples. Expand
Multiwindow Fusion for Wearable Activity Recognition
TLDR
This work proposes the use of multiple recognition systems operating on multiple window sizes and employs a weighted decision fusion mechanism to fairly leverage the potential yielded by each recognition system based on the target activity set. Expand
Multiclass classification for skin cancer profiling based on the integration of heterogeneous gene expression series
TLDR
A novel methodological approach involving the integration of several heterogeneous skin cancer series, and a later multiclass classifier design, is proposed to provide the clinicians with an intelligent diagnosis support tool based on the use of a robust set of selected biomarkers, which simultaneously distinguishes among different cancer-related skin states. Expand
Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level
TLDR
This work presents an integration of multiple Microarray and RNA-seq platforms, which has led to the design of a multiclass study by collecting samples from the main four types of leukemia, and an innovative parameter referred to as coverage is presented here. Expand
Evaluating the effects of signal segmentation on activity recognition
TLDR
From the study it may be concluded that reduced window sizes lead to a better recognition of the activities, which goes against the generalized idea of using long data windows. Expand
Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models
TLDR
An overall differentially expressed genes analysis was performed by using data from gene expression microarrays publicly stored at NCBI/GEO platform to provide a reduced and specific gene signature that allows identifying the sub-type of lung cancer of new samples. Expand
Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets
TLDR
This study found a panel of 8 highly relevant multiclass DEGs for discerning up to 10 skin pathological states: 2 healthy skin conditions a priori, 2 cataloged precancerous skin diseases and 6 cancerous skin states. Expand
Breast Cancer Microarray and RNASeq Data Integration Applied to Classification
TLDR
This paper deals with the integration of RNASeq data with microarrays data in order to find breast cancer biomarkers as expressed genes and has been used to create a classifier for an early diagnosis of breast cancer. Expand
Cardiovascular risk factors: Is the metabolic syndrome related to aging? Epidemiology in a Portuguese population.
TLDR
It is found that the prevalence of metabolic syndrome increases with age and is present in people of working age, increasing the risk of cardiovascular diseases, work-related absences, and socio-economic costs. Expand
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