[HTML][HTML] Microbiome multi-omics network analysis: statistical considerations, limitations, and opportunities
The advent of large-scale microbiome studies affords newfound analytical opportunities to
understand how these communities of microbes operate and relate to their environment …
understand how these communities of microbes operate and relate to their environment …
[HTML][HTML] Integration of metabolomic and other omics data in population-based study designs: an epidemiological perspective
It is not controversial that study design considerations and challenges must be addressed
when investigating the linkage between single omic measurements and human phenotypes …
when investigating the linkage between single omic measurements and human phenotypes …
A joint graphical model for inferring gene networks across multiple subpopulations and data types
Reconstructing gene networks from gene expression data is a long-standing challenge. In
most applications, the observations can be divided into several distinct but related …
most applications, the observations can be divided into several distinct but related …
An analytical study of COVID-19 dataset using graph-based clustering algorithms
Abstract COrona VIrus Disease abbreviated as COVID-19 is a novel virus which is initially
identified in Wuhan of China in December of 2019, and now, this deadly disease has spread …
identified in Wuhan of China in December of 2019, and now, this deadly disease has spread …
Markov clustering algorithms and their application in analysis of PPI network of malaria genes
M Das, PJA Alphonse… - 2021 11th IEEE …, 2021 - ieeexplore.ieee.org
An empirical study on three graph-based clustering algorithms has been presented here.
We have discussed those three clustering algorithms and made an analysis. The algorithms …
We have discussed those three clustering algorithms and made an analysis. The algorithms …
[图书][B] Kernel regression utilizing external information as constraints
CS Dai - 2023 - search.proquest.com
Researchers now integrate multiple datasets from various sources to better understand
scientific studies. Advanced technology allows for well-designed primary studies with …
scientific studies. Advanced technology allows for well-designed primary studies with …
[PDF][PDF] Iterative integrated imputation for missing data and pathway models with applications to breast cancer subtypes
H Linder, Y Zhang - Communications for Statistical Applications …, 2019 - koreascience.kr
Tumor development is driven by complex combinations of biological elements. Recent
advances suggest that molecularly distinct subtypes of breast cancers may respond …
advances suggest that molecularly distinct subtypes of breast cancers may respond …
An Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms
M Das, PJA Alphonse - arXiv preprint arXiv:2308.04697, 2023 - arxiv.org
Corona VIrus Disease abbreviated as COVID-19 is a novel virus which is initially identified
in Wuhan of China in December of 2019 and now this deadly disease has spread all over …
in Wuhan of China in December of 2019 and now this deadly disease has spread all over …
Adaptive noisy data augmentation for regularized construction of undirected graphical models
We develop the AdaPtive Noise Augmentation (PANDA) technique to regularize the
estimation of undirected graphical models. PANDA iteratively optimizes the objective …
estimation of undirected graphical models. PANDA iteratively optimizes the objective …
A GMM approach in coupling internal data and external summary information with heterogeneous data populations
Because of advances in data collection and storage, statistical analysis in modern scientific
research and practice now has opportunities to utilize external information such as summary …
research and practice now has opportunities to utilize external information such as summary …