Identifying signaling genes in spatial single-cell expression data
Motivation Recent technological advances enable the profiling of spatial single-cell
expression data. Such data present a unique opportunity to study cell–cell interactions and …
expression data. Such data present a unique opportunity to study cell–cell interactions and …
A comparison of multitask and single task learning with artificial neural networks for yield curve forecasting
The yield curve is the centrepiece in bond markets, a massive asset class with an overall
size of USD 100 trillion that remains relatively under-investigated using machine learning …
size of USD 100 trillion that remains relatively under-investigated using machine learning …
Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction
Given a set of biallelic molecular markers, such as SNPs, with genotype values encoded
numerically on a collection of plant, animal or human samples, the goal of genetic trait …
numerically on a collection of plant, animal or human samples, the goal of genetic trait …
Gene regulatory network inference using mixed-norms regularized multivariate model with covariance selection
AJ Mbebi, Z Nikoloski - PLoS Computational Biology, 2023 - journals.plos.org
Despite extensive research efforts, reconstruction of gene regulatory networks (GRNs) from
transcriptomics data remains a pressing challenge in systems biology. While non-linear …
transcriptomics data remains a pressing challenge in systems biology. While non-linear …
L2,1-norm regularized multivariate regression model with applications to genomic prediction
Motivation Genomic selection (GS) is currently deemed the most effective approach to speed
up breeding of agricultural varieties. It has been recognized that consideration of multiple …
up breeding of agricultural varieties. It has been recognized that consideration of multiple …
Artificial neural networks in fixed income markets for yield curve forecasting
The yield curve is the centrepiece in bond markets, a massive asset class with an overall
size of USD100 trillion that remains relatively under-investigated using machine learning …
size of USD100 trillion that remains relatively under-investigated using machine learning …
Machine learning in fixed income markets: forecasting and portfolio management
M Nunes - 2022 - eprints.soton.ac.uk
The fixed income market (ie bonds) is a massive asset class with an overall size of USD 100
trillion that remains relatively under-investigated using machine learning. The yield curve is …
trillion that remains relatively under-investigated using machine learning. The yield curve is …
City-Level China Traffic Safety Analysis via Multi-Output and Clustering-Based Regression Models
X Yan, Z Zhu - Sustainability, 2020 - mdpi.com
In the field of macro-level safety studies, road traffic safety is significantly related to
socioeconomic factors, such as population, number of vehicles, and Gross Domestic Product …
socioeconomic factors, such as population, number of vehicles, and Gross Domestic Product …
[引用][C] A Visual Representation Model for FMRI Activity Decoding
P Saengpetch, L Pipanmemekaporn