George I. Mias

Integrated RNA sequencing reanalysis reveals reproducible matrix-immune signatures in idiopathic pulmonary fibrosis

The paper integrates bulk RNA-seq data from multiple studies to identify reproducible matrix-immune gene expression signatures in IPF.

Histone Demethylase KDM6B Promotes Postnatal Oligodendrocyte Development and Cortical Myelination

This study shows that KDM6B promotes postnatal oligodendrocyte development and cortical myelination by regulating Sox10 expression through H3K27me3 demethylation.

SOX2 is a dispensable modulator of NUT carcinoma oncogenesis in mouse

This study shows SOX2 is not required for NUT carcinoma initiation or maintenance in mice, challenging its assumed oncogenic role and suggesting limited utility for SOX2-targeted therapies.

Time-resolved molecular measurements reveal changes in astronauts during spaceflight

This study analyzes time-resolved biochemical and immune measurements from 27 astronauts before, during, and after spaceflight to identify physiological changes linked to spaceflight conditions.

Differential Network Analysis of Longitudinal Gene Expression in Response to Perturbations.

The paper uses differential network analysis to study gene expression changes in response to vaccination and drug treatment, identifying pathway activations consistent with the mechanisms of action.

Temporal response characterization across individual multiomics profiles of prediabetic and diabetic subjects

The paper develops a method to analyze longitudinal multi-omics profiles of prediabetic and diabetic individuals to identify individual and group-level immune response patterns.

Impaired KDM2B-mediated PRC1 recruitment to chromatin causes neural stem cell senescence and ASD/ID-like behavioral deficits

This study shows that KDM2B dysfunction leads to neural stem cell senescence and ASD/ID-like behaviors in mice, linking 12q24.31 microdeletions to neurodevelopmental disorders.

Loss of ASH1L in developing brains causes autistic-like behaviors in a mouse model

This study shows that loss of ASH1L in developing mouse brains leads to autistic-like behaviors and cognitive impairments, establishing a causal link between ASH1L mutations and ASD/ID.

Visibility Graph Based Community Detection for Biological Time Series

The paper introduces a visibility graph-based method to detect temporal communities in biological time series and validates it on simulated and experimental data.

Longitudinal Saliva Omics Responses to Immune Perturbation: A Case Study

This study tracks saliva omics changes over time in response to immune perturbation, revealing broad immune responses in both innate and adaptive timeframes.

Cell signaling coordinates global Polycomb Repressive Complex 2 recruitment and gene expression in murine embryonic stem cells

This study shows FGF/ERK signaling regulates PRC2 occupancy in mESCs via JARID2 and reveals transcription factors drive bivalent gene de-repression independently of PRC2 occupancy.

Analysis of variance when both input and output sets are high-dimensional

The paper introduces two methods for analysis of variance in high-dimensional data and evaluates their performance on genomic datasets.

Meta-analysis of Gene Expression Microarray Datasets in Chronic Obstructive Pulmonary Disease

This study performs a meta-analysis of gene expression microarray datasets to identify differentially expressed genes in COPD, finding 304 genes and a logistic regression model with 84% accuracy for disease prediction.

Stratified computational meta-analysis of 2213 acute myeloid leukemia patients reveals age- and sex-dependent gene expression signatures

This study performs a meta-analysis of AML patient data to identify age- and sex-dependent gene expression signatures and pathways associated with the disease.

PyIOmica: Longitudinal Omics Analysis and Classification

PyIOmica integrates and classifies longitudinal omics datasets using tools for normalization, visualization, and pathway analysis.

Data-Driven Analysis of Age, Sex, and Tissue Effects on Gene Expression Variability in Alzheimer’s Disease

This study identifies gene expression differences between Alzheimer’s disease and healthy controls, considering age, sex, and tissue type using a meta-analysis of microarray data.

ClassificaIO: machine learning for classification graphical user interface

ClassificaIO provides an open-source GUI for machine learning classification using scikit-learn, enabling researchers to train, validate, and test models interactively without programming knowledge.

MathIOmica: An Integrative Platform for Dynamic Omics

MathIOmica provides a Mathematica package for integrating and analyzing multiple omics data in bioinformatics.