Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges
Background In high-dimensional data (HDD) settings, the number of variables associated
with each observation is very large. Prominent examples of HDD in biomedical research …
with each observation is very large. Prominent examples of HDD in biomedical research …
Computational medicine: translating models to clinical care
RL Winslow, N Trayanova, D Geman… - Science translational …, 2012 - science.org
Because of the inherent complexity of coupled nonlinear biological systems, the
development of computational models is necessary for achieving a quantitative …
development of computational models is necessary for achieving a quantitative …
Invigorating employee's innovative work behavior: Exploring the sequential mediating role of organizational commitment and knowledge sharing
I Arsawan, NM Kariati, Y Shchokina… - Business Theory & …, 2022 - ceeol.com
Current research paper aimed to investigate determinants of employee's innovative work
behavior in export SMEs. The general problem in some export SMEs was a lack of …
behavior in export SMEs. The general problem in some export SMEs was a lack of …
[HTML][HTML] An integrative deep learning framework for classifying molecular subtypes of breast cancer
Classification of breast cancer subtypes using multi-omics profiles is a difficult problem since
the data sets are high-dimensional and highly correlated. Deep neural network (DNN) …
the data sets are high-dimensional and highly correlated. Deep neural network (DNN) …
Using classification algorithms for predicting durum wheat yield in the province of Buenos Aires
JR Romero, PF Roncallo, PC Akkiraju, I Ponzoni… - … and electronics in …, 2013 - Elsevier
Wheat is one of the most important cereals worldwide for human nutrition. Tetraploid wheat
(Triticum turgidum L. ssp. durum, 2n= 28, genomes AABB) is mainly used to produce pasta …
(Triticum turgidum L. ssp. durum, 2n= 28, genomes AABB) is mainly used to produce pasta …
A hybrid wavelet-optimally-pruned extreme learning machine model for the estimation of international roughness index of rigid pavements
MR Kaloop, SM El-Badawy, J Ahn, HB Sim… - … Journal of Pavement …, 2022 - Taylor & Francis
ABSTRACT International Roughness Index (IRI) is a key parameter in pavement
performance evaluation. This study investigates developing a reliable prediction model that …
performance evaluation. This study investigates developing a reliable prediction model that …
Learning the kernel for rare variant genetic Association test
Introduction: Compared to Genome-Wide Association Studies (GWAS) for common variants,
single-marker association analysis for rare variants is underpowered. Set-based association …
single-marker association analysis for rare variants is underpowered. Set-based association …
Modelling the distribution in Hawaii of Angiostrongylus cantonensis (rat lungworm) in its gastropod hosts
Angiostrongylus cantonensis (rat lungworm), a parasitic nematode, is expanding its
distribution. Human infection, known as angiostrongyliasis, may manifest as eosinophilic …
distribution. Human infection, known as angiostrongyliasis, may manifest as eosinophilic …
Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra
Motivation Microbial species identification based on matrix-assisted laser desorption
ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has become a standard tool in …
ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has become a standard tool in …
Scbean: a python library for single-cell multi-omics data analysis
H Zhang, Y Wang, B Lian, Y Wang, X Li, T Wang… - …, 2024 - academic.oup.com
Single-cell multi-omics technologies provide a unique platform for characterizing cell states
and reconstructing developmental process by simultaneously quantifying and integrating …
and reconstructing developmental process by simultaneously quantifying and integrating …