Momiao Xiong

ORCID: 0000-0003-0635-5796
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Bioinformatics and Genomic Networks
  • Genetic Mapping and Diversity in Plants and Animals
  • Gene expression and cancer classification
  • Genetic and phenotypic traits in livestock
  • RNA Research and Splicing
  • Genomic variations and chromosomal abnormalities
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Nutrition, Genetics, and Disease
  • Molecular Biology Techniques and Applications
  • Systemic Sclerosis and Related Diseases
  • MicroRNA in disease regulation
  • Genomics and Chromatin Dynamics
  • RNA and protein synthesis mechanisms
  • Genomics and Rare Diseases
  • Health, Environment, Cognitive Aging
  • Gene Regulatory Network Analysis
  • Advanced Causal Inference Techniques
  • Systemic Lupus Erythematosus Research
  • Virus-based gene therapy research
  • Cancer-related gene regulation
  • Genetics and Neurodevelopmental Disorders
  • Genetic Syndromes and Imprinting
  • Machine Learning in Bioinformatics

Massachusetts General Hospital
2025

The University of Texas Health Science Center at Houston
2015-2024

Guangdong Provincial People's Hospital
2020

Fudan University
2005-2017

State Key Laboratory of Genetic Engineering
2009-2017

The University of Texas at Austin
2001-2015

University of Michigan
1997-2015

The University of Texas System
2015

Texas Medical Center
2010-2014

University of Houston
2001-2005

Background: An alternative to epidemiological models for transmission dynamics of Covid-19 in China, we propose the artificial intelligence (AI)-inspired methods real-time forecasting estimate size, lengths and ending time across China.Methods: We developed a modified stacked autoencoder modeling epidemics.We applied this model confirmed cases China.The data were collected from January 11 February 27, 2020 by WHO.We used latent variables auto-encoder clustering algorithms group...

10.18562/ijee.054 article EN cc-by-nc-nd International Journal of Educational Excellence 2020-01-01

Gene expression studies bridge the gap between DNA information and trait by dissecting biochemical pathways into intermediate components genotype phenotype. These open new avenues for identifying complex disease genes biomarkers diagnosis assessing drug efficacy toxicity. However, majority of analytical methods applied to gene data are not efficient biomarker identification diagnosis. In this paper, we propose a general framework incorporate feature (gene) selection pattern recognition in...

10.1101/gr.190001 article EN Genome Research 2001-11-01

Mutations and/or overexpression of various transporters are known to confer drug resistance in a variety organisms. In the malaria parasite Plasmodium falciparum, homologue P-glycoprotein, PfMDR1, has been implicated responses chloroquine (CQ), quinine (QN) and other drugs, putative transporter, PfCRT, was recently demonstrated be key molecule CQ resistance. However, unknown molecules probably involved, as different clones carrying same pfcrt pfmdr1 alleles show wide range quantitative QN....

10.1046/j.1365-2958.2003.03627.x article EN Molecular Microbiology 2003-07-11

Precise classification of tumors is critically important for cancer diagnosis and treatment. It also a scientifically challenging task. Recently, efforts have been made to use gene expression profiles improve the precision classification, with limited success. Using published data set purposes comparison, we introduce methodology based on trees demonstrate that it significantly more accurate discriminating among distinct colon tissues than other statistical approaches used heretofore. In...

10.1073/pnas.111153698 article EN Proceedings of the National Academy of Sciences 2001-05-29

10.1086/515475 article EN publisher-specific-oa The American Journal of Human Genetics 1997-06-01

Abstract Objective To identify systemic sclerosis (SSc) susceptibility loci via a genome‐wide association study. Methods A study was performed in 137 patients with SSc and 564 controls from Korea using the Affymetrix Human SNP Array 5.0. After fine‐mapping studies, results were replicated 1,107 2,747 US Caucasian population. Results The single‐nucleotide polymorphisms (SNPs) (rs3128930, rs7763822, rs7764491, rs3117230, rs3128965) of HLA–DPB1 DPB2 on chromosome 6 formed distinctive peak log P...

10.1002/art.24982 article EN Arthritis & Rheumatism 2009-11-30

10.1086/508571 article EN publisher-specific-oa The American Journal of Human Genetics 2006-10-06

Genome-wide association studies (GWAS) have become the primary approach for identifying genes with common variants influencing complex diseases. Despite considerable progress, variations identified by GWAS account only a small fraction of disease heritability and are unlikely to explain majority phenotypic A potential source missing is contribution rare variants. Next-generation sequencing technologies will detect millions novel variants, but these three defining features: identification...

10.1101/gr.115998.110 article EN cc-by-nc Genome Research 2011-04-26

Abstract Background Glioblastoma arises from complex interactions between a variety of genetic alterations and environmental perturbations. Little attention has been paid to understanding how variations, altered gene expression microRNA (miRNA) are integrated into networks which act together alter regulation finally lead the emergence phenotypes glioblastoma. Results We identified association somatic mutations in 14 genes with glioblastoma, 8 newly identified, loss heterozygosity (LOH) is 11...

10.1186/1752-0509-4-163 article EN BMC Systems Biology 2010-11-29

DNA methylation was suggested as the promising biomarker for lung cancer diagnosis. However, it is a great challenge to search optimal combination of biomarkers obtain maximum diagnostic performance. In this study, we developed panel and validated their efficiency non-small cell (NSCLC) in large Chinese Han NSCLC retrospective cohort. Three high-throughput microarray datasets (458 samples) were collected discovery stage. After normalization, batch effect elimination integration,...

10.1186/s13148-014-0035-3 article EN cc-by Clinical Epigenetics 2015-01-21

Although Alzheimer's disease (AD) is a central nervous system and type 2 diabetes MELLITUS (T2DM) metabolic disorder, an increasing number of genetic epidemiological studies show clear link between AD T2DM. The current approach to uncovering the shared pathways T2DM involves association analysis; however such analyses lack power discover mechanisms diseases. As alternative, we developed novel causal inference methods for pipelines systematic multi-omic casual analysis infer multilevel omics...

10.1038/s41598-020-60682-3 article EN cc-by Scientific Reports 2020-03-05

10.1086/340392 article EN publisher-specific-oa The American Journal of Human Genetics 2002-05-01

Although great progress in genome-wide association studies (GWAS) has been made, the significant SNP associations identified by GWAS account for only a few percent of genetic variance, leading many to question where and how we can find missing heritability. There is increasing interest interaction analysis as possible source finding heritability unexplained current GWAS. However, existing statistics testing have low power analysis. To meet challenges raised interactional analysis, developed...

10.1371/journal.pgen.1001131 article EN cc-by PLoS Genetics 2010-09-23

ABSTRACT Functional linear models are developed in this paper for testing associations between quantitative traits and genetic variants, which can be rare variants or common the combination of two. By treating multiple an individual a human population as realization stochastic process, genome chromosome region is continuum sequence data rather than discrete observations. The viewed function that contains both linkage disequilibrium (LD) information markers. using techniques functional...

10.1002/gepi.21757 article EN Genetic Epidemiology 2013-10-15

For complex diseases, the relationship between genotypes, environment factors, and phenotype is usually nonlinear. Our understanding of genetic architecture diseases has considerably increased over last years. However, both conceptually methodologically, detecting gene-gene gene-environment interactions remains a challenge, despite existence number efficient methods. One method that offers great promises but not yet been widely applied to genomic data entropy-based approach information...

10.1002/gepi.20621 article EN Genetic Epidemiology 2011-10-18

ABSTRACT In genetics, pleiotropy describes the genetic effect of a single gene on multiple phenotypic traits. A common approach is to analyze traits separately using univariate analyses and combine test results through comparisons. This may lead low power. Multivariate functional linear models are developed connect variant data quantitative adjusting for covariates unified analysis. Three types approximate F ‐distribution tests based Pillai–Bartlett trace, Hotelling–Lawley Wilks's Lambda...

10.1002/gepi.21895 article EN Genetic Epidemiology 2015-03-23

Recognizing that social context influences health, over much of the last decade, federal, and state policies have encouraged healthcare institutions to identify patients without adequate access basic material goods such as food, housing, transportation develop partnerships with community-based organizations (CBOs) service support any identified gaps [1]. As an example, 27 states District Columbia active or pending Medicaid Section 1115(a) waivers include provisions related health-related...

10.1111/1475-6773.14613 article EN cc-by-nc-nd Health Services Research 2025-03-25
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