[HTML][HTML] Geostatistical modeling and heterogeneity analysis of tumor molecular landscape

M Hajihosseini, P Amini, D Voicu, I Dinu, S Pyne - Cancers, 2022 - mdpi.com
Simple Summary The present study introduces a new computational platform referred to as
GATHER to conduct Geostatistical Analysis of Tumor Heterogeneity and Entropy in R …

[HTML][HTML] Geographically weighted linear combination test for gene-set analysis of a continuous spatial phenotype as applied to intratumor heterogeneity

P Amini, M Hajihosseini, S Pyne, I Dinu - Frontiers in Cell and …, 2023 - frontiersin.org
Background: The impact of gene-sets on a spatial phenotype is not necessarily uniform
across different locations of cancer tissue. This study introduces a computational platform …

Longitudinal pathway analysis using structural information with case studies in early type 1 diabetes

MK Jaakkola, A Kukkonen-Macchi, T Suomi, LL Elo - bioRxiv, 2022 - biorxiv.org
We introduce a new method for Pathway Analysis of Longitudinal data (PAL), which is
suitable for complex study designs, such as longitudinal data. The main advantages of PAL …

[图书][B] Gene Set Anomaly Score: A Genomic Data and Knowledge Driven Approach for Analysing Anomalous Gene Expression in Cancer Patients

MS Kamal - 2023 - search.proquest.com
Genomics research often uses Gene Set Enrichment Analysis (GSEA) to rank genes that
correlate with the presence of phenotypical traits and to interpret how variations in gene …

[PDF][PDF] Use of linear combination test to identify gene signatures of human embryonic development in single cell RNA-seq experiments

I Dinu, EK Moez, M Hajihosseini, A Leite, S Pyne - Statistics Appl, 2021 - ssca.org.in
Data on human systems biology are being generated at a rapid pace due to technological
advances in not only high-throughput, but also high-resolution, platforms. Increasing …

[PDF][PDF] IMPROVED FUNNEL-GSEA USING ADAPTIVE ELASTIC-NET PENALIZATION METHOD TO IDENTIFY SIGNIFICANT GENE SETS

NNBM HASRI - 2021 - eprints.utm.my
Gene set enrichment analysis (GSEA) is one of the methods in functional class scoring
(FCS) categories for gene set analysis. GSEA is a popular method that was developed to …

[引用][C] Geostatistical Modeling and Heterogeneity Analysis of Tumor Molecular Landscape. Cancers 2022, 14, 5235

M Hajihosseini, P Amini, D Voicu, I Dinu, S Pyne - 2022 - europepmc.org
Intratumor heterogeneity (ITH) is associated with therapeutic resistance and poor prognosis
in cancer patients, and attributed to genetic, epigenetic, and microenvironmental factors. We …