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Classify hyperdiploidy status of multiple myeloma patients using gene expression profiles
Classify hyperdiploidy status multiple myeloma patients expression profiles
2016/1/25
Multiple myeloma (MM) is a cancer of antibody-making plasma cells. It frequently harbors alterations in DNA and chromosome copy numbers, and can be divided into two major subtypes, hyperdiploid (HMM) ...
Transcription factor-pathway co-expression analysis reveals cooperation between SP1 and ESR1 on dysregulating cell cycle arrest in non-hyperdiploid multiple myeloma
coexpression cell cycle arrest multiple myeloma hyperdiploid
2016/1/25
Multiple myeloma is a hematological cancer of plasma B cells and remains incurable. Two major subtypes of myeloma, hyperdiploid MM (HMM) and non-hyperdiploid MM (NHMM), have distinct chromosomal alter...
Classify hyperdiploidy status of multiple myeloma patients using gene expression profiles
Classify hyperdiploidy status multiple myeloma patients expression profiles
2016/1/20
Multiple myeloma (MM) is a cancer of antibody-making plasma cells. It frequently harbors alterations in DNA and chromosome copy numbers, and can be divided into two major subtypes, hyperdiploid (HMM) ...
Transcription factor-pathway co-expression analysis reveals cooperation between SP1 and ESR1 on dysregulating cell cycle arrest in non-hyperdiploid multiple myeloma
coexpression cell cycle arrest multiple myeloma hyperdiploid
2016/1/20
Multiple myeloma is a hematological cancer of plasma B cells and remains incurable. Two major subtypes of myeloma, hyperdiploid MM (HMM) and non-hyperdiploid MM (NHMM), have distinct chromosomal alter...
Integrative approaches for microRNA target prediction: combining sequence information and the paired mRNA and miRNA expression profiles
target prediction expression profile integrative analysis
2016/1/20
Gene regulation is a key factor in gaining a full understanding of molecular biology. microRNA (miRNA), a novel class of non-coding RNA, has recently been found to be one crucial class of post-transac...
A sparse regulatory network of copy-number driven expression reveals putative breast cancer oncogenes
sparse regulatory network copy-number driven expression reveals
2010/10/19
The influence of DNA cis-regulatory elements on a gene's expression has been intensively studied. However, little is known about expressions driven by trans-acting DNA hotspots. DNA hotspots harborin...
An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling
micro-environmental parameters in cancer Weibull survival models
2010/10/19
We present an applied study in cancer genomics for integrating data and inferences from laboratory experiments on cancer cell lines with observational data obtained from human breast cancer studies. T...
Increasing stability and interpretability of gene expression signatures
stability interpretability gene expression signatures
2010/3/9
Motivation Molecular signatures for diagnosis or prognosis estimated
from large-scale gene expression data often lack robustness and
stability, rendering their biological interpretation challenging....
Bayesian Identification of Differential Gene Expression Induced by Metals in Human Bronchial Epithelial Cells
Bayesian latent variables MCMC dierential expression hierarchical model microarray macroarray toxicology model selection
2009/9/21
The study of genetics continues to advance dramatically with the
development of microarray technology. In light of the advancements, interesting
statistical challenges have arisen. Given that only o...
ANALYSIS OF DYNAMIC PROTEIN EXPRESSION DATA
dierence gel electrophoresis data calibration mixed linear model for longitudinal data missing values proteomics
2009/2/26
Di®erence gel electrophoresis (DIGE) is the new gold standard analysing complex protein mixtures in proteomics. It is used for measuring the expression levels of proteins in di®erent mixtures ...
STATISTICAL EVALUATION OF METHODS FOR THE ANALYSIS OF DYNAMIC PROTEIN EXPRESSION DATA FROM A TUMOR STUDY
protein expression data proteome data preprocessing missing values imputation longitudinal data analysis neuroblastoma
2009/2/25
In this article, we analyze time dependent protein expression data obtained from
a proteome study of a neuroblastoma cell line. Neuroblastoma are common solid
tumors which occur in early childhood. ...
The Cyclohedron Test for Finding Periodic Genes in Time Course Expression Studies
Cyclohedron Test Periodic Genes Time Course Expression Studies
2010/4/27
The problem of finding periodically expressed genes from time course microarray
experiments is at the center of numerous efforts to identify the molecular components
of biological clocks. We present...