Shengping Yang

ORCID: 0000-0003-2202-8314
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About
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Research Areas
  • Statistical Methods in Clinical Trials
  • Gene expression and cancer classification
  • Cancer Genomics and Diagnostics
  • Epigenetics and DNA Methylation
  • Genomics and Phylogenetic Studies
  • Genomic variations and chromosomal abnormalities
  • Drug Transport and Resistance Mechanisms
  • Advanced Statistical Methods and Models
  • Molecular Biology Techniques and Applications
  • Microbial Fuel Cells and Bioremediation
  • Machine Learning and Data Classification
  • Fuzzy Logic and Control Systems
  • Crystallization and Solubility Studies
  • Advanced Control Systems Optimization
  • Hedgehog Signaling Pathway Studies
  • Research on Leishmaniasis Studies
  • Multi-Criteria Decision Making
  • Cancer-related molecular mechanisms research
  • Genetic Associations and Epidemiology
  • Cancer Risks and Factors
  • Ichthyology and Marine Biology
  • Lysosomal Storage Disorders Research
  • Amino Acid Enzymes and Metabolism
  • Breast Cancer Treatment Studies
  • Pharmacological Effects and Toxicity Studies

Texas Tech University Health Sciences Center
2013-2023

Texas Tech University
2013-2023

Pennington Biomedical Research Center
2020-2023

Louisiana State University Health Sciences Center New Orleans
2012-2016

National Yang Ming Chiao Tung University
2016

Xavier University of Louisiana
2012

St. Jude Children's Research Hospital
2012

priors are computationally appealing and thus widely used; otherwise, methods such as MCMC simulation needed to approximate the posterior distribution.

10.12746/swrccc.v8i36.773 article EN cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2020-10-11

// Erh-Hsuan Lin 1, 2, 3, 4 , Yu-Rung Kao 1 Chih-An 5 Ting-Yu Kuo Sheng-Ping Yang 2 Chiung-Fang Hsu Teh-Ying Chou 6 Chao-Chi Ho 7 Cheng-Wen Wu Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan Microbiology and Immunology, National Ming University, 3 Clinical Medicine, Yang-Ming Biochemistry Molecular Biology, Department Laboratory Sciences Medical Biotechnology, University College, Pathology Taipei Veterans General Hospital, Internal Hospital Correspondence to: Wu, e-mail:...

10.18632/oncotarget.8253 article EN Oncotarget 2016-03-22

Abstract Ceramide synthases (CERS) produce ceramides which are key intermediators in the biosynthesis of complex sphingolipids and play an important role cell proliferation, differentiation, apoptosis senescence. CERS6 is isoform ceramide known to generate with C16 acyl chain (C 16 -Cer). C -Cer levels were significantly higher acute lymphoblastic leukemia (ALL) cells comparison peripheral blood mononuclear T lymphocytes derived from healthy human volunteers. We investigated chemo-resistance...

10.1038/s41419-018-0964-4 article EN cc-by Cell Death and Disease 2018-09-11

10.12746/swrccc.v13i54.1415 article EN cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2025-01-28

I am planning a pre-clinical study to compare the effect of two active drug compounds on metabolic biomarker.We will be using 8 mice in each group.Is this sample size considered small?Sample is one critical considerations various types biomedical research.Whether it study, randomized controlled clinical trial, or an epidemiological investigation, has profound implications for reliability, validity, and generalizability findings.In fact, not only key consideration that influences study's...

10.12746/swrccc.v11i49.1251 article EN cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2023-10-19

Purpose A decline in breast cancer incidence has been attributed to the reduction hormone replacement therapy (HRT) prescriptions since publication of landmark WHIT paper 2003. Concurrently, a relationship between HRT and cerebrovascular disease also suggested. No generalized analysis prescription rates that included more than seven years data. We hypothesized detailed SEER data would clarify use incidence. Given large uncovered, analyses potential complications were conducted, with...

10.1371/journal.pone.0138556 article EN cc-by PLoS ONE 2015-09-18

DNA copy number alteration is common in many cancers. Studies have shown that insertion or deletion of sequences can directly alter gene expression, and significant correlation exists between expression. Data normalization a critical step the analysis expression generated by RNA-seq technology. Successful reduces/removes unwanted nonbiological variations data, while keeping meaningful information intact. However, as far we know, no attempt has been made to adjust for variation due changes...

10.4137/cin.s39781 article EN cc-by-nc Cancer Informatics 2016-01-01

10.12746/swrccc2015.0312.160 article EN cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2015-10-15

10.12746/swrccc.v3i9.191 article FR cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2015-01-14

10.12746/swrccc.v5i21.424 article EN cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2017-10-16

Paired sequencing data are commonly collected in genomic studies to control biological variation. However, existing processing strategies suffer at low coverage regions, which unavoidable due the limitation of current technology. Furthermore, information contained absolute values read counts is ignored. We propose a count ratio processing/modification method, not only incorporate paired into one variable, but also mitigate discrete artifact, especially when both small. Simulation shows that...

10.1080/02664763.2016.1158798 article EN Journal of Applied Statistics 2016-03-16

Abstract Motivation: Normalization is critical in DNA copy number analysis. We propose a new method to correctly identify two-copy probes from the genome obtain representative references for normalization single nucleotide polymorphism arrays. The based on two-state Hidden Markov Model. Unlike most currently available methods literature, proposed does not need assume that percentage of state dominant genome, as long there do exist probes. Results: real data analysis and simulation study show...

10.1093/bioinformatics/bts683 article EN public-domain Bioinformatics 2012-11-29

10.12746/swrccc.v9i37.805 article cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2021-01-28

10.1166/jbmb.2019.1850 article EN Journal of Biobased Materials and Bioenergy 2019-04-01

Accurate genotype calling is a pre-requisite of successful Genome-Wide Association Study (GWAS). Although most genotyping algorithms can achieve an accuracy rate greater than 99% for DNA samples without copy number alterations (CNAs), almost all these are not designed tumor that known to have large regions CNAs.This study aims develop statistical method accurately with CNAs. The proposed adds Bayesian layer cluster regression model and termed Cluster Regression-based algorithm (BCRgt). We...

10.1186/1471-2105-15-74 article EN cc-by BMC Bioinformatics 2014-03-15

10.12746/swrccc2014.0207.094 article EN cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2014-07-13

10.12746/swrccc.v2i8.163 article EN cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2014-10-05

Many current RNA-sequencing data analysis methods compare expressions one gene at a time, taking little consideration of the correlations among genes. In this study, we propose method to convert such an one-dimensional comparison approach into two-dimensional evaluation ratio standard deviations (SD) two constructed random variables. This allows identification differentially expressed genes while controlling preset significance level conditional on read count mean-variance relationship....

10.1109/tcbb.2018.2866994 article EN IEEE/ACM Transactions on Computational Biology and Bioinformatics 2018-08-27

I recently completed a randomized clinical trial and found out that there were missing values in the data.I have heard of value imputations am wondering if such could improve data analysis.In studies, it is common for some participants to be lost follow-up.Epidemiological studies are also susceptible values, depending on nature studies.While we all understand avoiding this situation preferable, important design develop protocols limit amount data, sometimes, unavoidable.In article, will...

10.12746/swrccc.v10i44.1075 article EN cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2022-07-22

10.12746/swrccc2015.0311.149 article EN cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2015-01-01

10.12746/swrccc.v1i4.98 article IT cc-by-sa The Southwest Respiratory and Critical Care Chronicles 2013-10-02
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