[HTML][HTML] Ethical considerations for precision psychiatry: a roadmap for research and clinical practice
P Fusar-Poli, M Manchia, N Koutsouleris… - European …, 2022 - Elsevier
Precision psychiatry is an emerging field with transformative opportunities for mental health.
However, the use of clinical prediction models carries unprecedented ethical challenges …
However, the use of clinical prediction models carries unprecedented ethical challenges …
Feature selection methods and genomic big data: a systematic review
In the era of accelerating growth of genomic data, feature-selection techniques are believed
to become a game changer that can help substantially reduce the complexity of the data …
to become a game changer that can help substantially reduce the complexity of the data …
Using street view imagery to predict street-level particulate air pollution
Land-use regression (LUR) models are frequently applied to estimate spatial patterns of air
pollution. Traditional LUR often relies on fixed-site measurements and GIS-derived variables …
pollution. Traditional LUR often relies on fixed-site measurements and GIS-derived variables …
Application of biological domain knowledge based feature selection on gene expression data
In the last two decades, there have been massive advancements in high throughput
technologies, which resulted in the exponential growth of public repositories of gene …
technologies, which resulted in the exponential growth of public repositories of gene …
Review of feature selection approaches based on grouping of features
With the rapid development in technology, large amounts of high-dimensional data have
been generated. This high dimensionality including redundancy and irrelevancy poses a …
been generated. This high dimensionality including redundancy and irrelevancy poses a …
CogNet: classification of gene expression data based on ranked active-subnetwork-oriented KEGG pathway enrichment analysis
Most of the traditional gene selection approaches are borrowed from other fields such as
statistics and computer science, However, they do not prioritize biologically relevant genes …
statistics and computer science, However, they do not prioritize biologically relevant genes …
Trust in the scientific research community predicts intent to comply with COVID-19 prevention measures: An analysis of a large-scale international survey dataset
H Han - Epidemiology & Infection, 2022 - cambridge.org
In the present study, I explored the relationship between people's trust in different agents
related to the prevention of the spread of coronavirus disease 2019 (COVID-19) and their …
related to the prevention of the spread of coronavirus disease 2019 (COVID-19) and their …
Applying a GAN-based classifier to improve transcriptome-based prognostication in breast cancer
C Guttà, C Morhard, M Rehm - PLOS Computational Biology, 2023 - journals.plos.org
Established prognostic tests based on limited numbers of transcripts can identify high-risk
breast cancer patients, yet are approved only for individuals presenting with specific clinical …
breast cancer patients, yet are approved only for individuals presenting with specific clinical …
Integrative biomarker detection on high-dimensional gene expression data sets: a survey on prior knowledge approaches
C Perscheid - Briefings in bioinformatics, 2021 - academic.oup.com
Gene expression data provide the expression levels of tens of thousands of genes from
several hundred samples. These data are analyzed to detect biomarkers that can be of …
several hundred samples. These data are analyzed to detect biomarkers that can be of …
miRGediNET: A comprehensive examination of common genes in miRNA-Target interactions and disease associations: Insights from a grouping-scoring-modeling …
In the broad and complex field of biological data analysis, researchers frequently gather
information from a single source or database. Despite being a widespread practice, this has …
information from a single source or database. Despite being a widespread practice, this has …