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Publicações

Publicações por CRACS

2019

On the Development of a Model to Prevent Failures, Built from Interactions with Moodle

Autores
Cabral, B; Figueira, Á;

Publicação
Lecture Notes in Computer Science - Advances in Web-Based Learning – ICWL 2019

Abstract

2019

Quarmic: A data-driven web development framework

Autores
Pereira Cunha, PM; Leal, JP;

Publicação
OpenAccess Series in Informatics

Abstract
Quarmic is a web framework for rapid prototyping of web applications. Its main goal is to facilitate the development of web applications by providing a high level of abstraction that hides Web communication complexities. This framework allows developers to build scalable applications capable of handling data communication in different models, data persistence and authentication, requiring them just to use simple annotations. Quarmic’s approach consists of the replication of the shared object among clients and server in order to communicate through its methods execution. Where the annotations, namely decorators, are used to indicate the concern (model or view) that each method addresses and to implement the framework’s inversion of control. By indicating the method concern, it enables the separation of its execution across the clients (responsible for the view) and the server (responsible for the model) which facilitates the state management and code maintenance. © Pedro M. P. Cunha and José P. Leal.

2019

A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters

Autores
Demircioglu, D; Cukuroglu, E; Kindermans, M; Nandi, T; Calabrese, C; Fonseca, NA; Kahles, A; Kjong Van Lehmann,; Stegle, O; Brazma, A; Brooks, AN; Ratsch, G; Tan, P; Goke, J;

Publicação
Cell

Abstract
Alternative promoters are frequently used to regulate tissue- and cancer-specific transcription, and variation in promoter usage is associated with cancer patient survival. © 2019 Elsevier Inc.Most human protein-coding genes are regulated by multiple, distinct promoters, suggesting that the choice of promoter is as important as its level of transcriptional activity. However, while a global change in transcription is recognized as a defining feature of cancer, the contribution of alternative promoters still remains largely unexplored. Here, we infer active promoters using RNA-seq data from 18,468 cancer and normal samples, demonstrating that alternative promoters are a major contributor to context-specific regulation of transcription. We find that promoters are deregulated across tissues, cancer types, and patients, affecting known cancer genes and novel candidates. For genes with independently regulated promoters, we demonstrate that promoter activity provides a more accurate predictor of patient survival than gene expression. Our study suggests that a dynamic landscape of active promoters shapes the cancer transcriptome, opening new diagnostic avenues and opportunities to further explore the interplay of regulatory mechanisms with transcriptional aberrations in cancer. © 2019 Elsevier Inc.

2019

Estimating time and score uncertainty in generating successful learning paths under time constraints

Autores
Nabizadeh, AH; Jorge, AM; Leal, JP;

Publicação
Expert Systems

Abstract

2019

A System to Automatically Predict Relevance in Social Media

Autores
Figueira, Á; Guimarães, N; Pinto, J;

Publicação
Procedia Computer Science

Abstract

2019

Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting

Autores
Oliveira, M; Moniz, N; Torgo, L; Santos Costa, V;

Publicação
2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)

Abstract

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