Review of statistical learning methods in integrated omics studies (an integrated information science)
ISL Zeng, T Lumley - Bioinformatics and biology insights, 2018 - journals.sagepub.com
Integrated omics is becoming a new channel for investigating the complex molecular system
in modern biological science and sets a foundation for systematic learning for precision …
in modern biological science and sets a foundation for systematic learning for precision …
An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information
Background Common spatial pattern (CSP) has been an effective technique for feature
extraction in electroencephalography (EEG) based brain computer interfaces (BCIs) …
extraction in electroencephalography (EEG) based brain computer interfaces (BCIs) …
Multi-view kernel spectral clustering
In multi-view clustering, datasets are comprised of different representations of the data, or
views. Although each view could individually be used, exploiting information from all views …
views. Although each view could individually be used, exploiting information from all views …
CSP-TSM: Optimizing the performance of Riemannian tangent space map** using common spatial pattern for MI-BCI
Background Classification of electroencephalography (EEG) signals for motor imagery
based brain computer interface (MI-BCI) is an exigent task and common spatial pattern …
based brain computer interface (MI-BCI) is an exigent task and common spatial pattern …
Exploring pathways to purpose in scouts
Youth purpose was investigated using a two-phase embedded design with youth
participating in Scouts BSA (N= 3,943), ages 9–20 (M= 14.0, SD= 1.9). Participating Scouts …
participating in Scouts BSA (N= 3,943), ages 9–20 (M= 14.0, SD= 1.9). Participating Scouts …
Integration of Meta-Multi-Omics Data Using Probabilistic Graphs and External Knowledge
Multi-omics has the promise to provide a detailed molecular picture of biological systems.
Although obtaining multi-omics data is relatively easy, methods that analyze such data have …
Although obtaining multi-omics data is relatively easy, methods that analyze such data have …
SPECTRA: a tool for enhanced brain wave signal recognition
Background Brain wave signal recognition has gained increased attention in neuro-
rehabilitation applications. This has driven the development of brain–computer interface …
rehabilitation applications. This has driven the development of brain–computer interface …
Integration of Multi-Omics Data Using Probabilistic Graph Models and External Knowledge
BA Tripp, HH Otu - Current Bioinformatics, 2022 - ingentaconnect.com
Background: High-throughput sequencing technologies have revolutionized the ability to
perform systems-level biology and elucidate molecular mechanisms of disease through the …
perform systems-level biology and elucidate molecular mechanisms of disease through the …
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data
Background In recent years, identification of differentially expressed genes and sample
clustering have become hot topics in bioinformatics. Principal Component Analysis (PCA) is …
clustering have become hot topics in bioinformatics. Principal Component Analysis (PCA) is …
2D–EM clustering approach for high-dimensional data through folding feature vectors
Background Clustering methods are becoming widely utilized in biomedical research where
the volume and complexity of data is rapidly increasing. Unsupervised clustering of patient …
the volume and complexity of data is rapidly increasing. Unsupervised clustering of patient …