Identification of disease genes by expression profiling [PDF]
The human genome has been completely sequenced. The development of innovative methodologies and tools to understand the functions of human genes in health and disease will allow the data of the human genome project to be utilized.This paper reviews methods that can be used to detect and isolate genes that are specifically expressed in certain diseases ...
B Jany, R Bals
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Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin. [PDF]
Human skin consists of multiple cell types, including epithelial, immune, and stromal cells. Transcriptomic analyses have previously been performed from bulk skin samples or from epithelial and immune cells expanded in cell culture.
Ahn, Richard S+9 more
core +1 more source
Blood-Based Gene Expression in children with Autism spectrum disorder [PDF]
Comparative gene expression profiling analysis is useful in discovering differentially expressed genes associated with various diseases, including mental disorders.
Hristo Y. Ivanov+4 more
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It is well known that correlations in microarray data represent a serious nuisance deteriorating the performance of gene selection procedures. This paper is intended to demonstrate that the correlation structure of microarray data provides a rich source ...
Klebanov, Lev, Yakovlev, Andrei
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Bioinformatic Analysis for the Validation of Novel Biomarkers for Cancer Diagnosis and Drug Sensitivity [PDF]
Background: The genetic control of tumour progression presents the opportunity for bioinformatics and gene expression data to be used as a basis for tumour grading.
Lockwood, Laura Anne Rebecca
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Guidance of sentinel lymph node biopsy decisions in patients with T1-T2 melanoma using gene expression profiling. [PDF]
AIM: Can gene expression profiling be used to identify patients with T1-T2 melanoma at low risk for sentinel lymph node (SLN) positivity? PATIENTS & METHODS: Bioinformatics modeling determined a population in which a 31-gene expression profile test ...
Berger, Adam C.+14 more
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Comparative metabolomics in primates reveals the effects of diet and gene regulatory variation on metabolic divergence. [PDF]
Human diets differ from those of non-human primates. Among few obvious differences, humans consume more meat than most non-human primates and regularly cook their food.
Blekhman, Ran+5 more
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Clustering of time-course gene expression profiles using normal mixture models with AR(1) random effects [PDF]
Time-course gene expression data such as yeast cell cycle data may be periodically expressed. To cluster such data, currently used Fourier series approximations of periodic gene expressions have been found not to be sufficiently adequate to model the complexity of the time-course data, partly due to their ignoring the dependence between the expression ...
arxiv
Profiling Gene Expression Using Onto-Express
Gene expression profiles obtained through microarray or data mining analyses often exist as vast data strings. To interpret the biology of these genetic profiles, investigators must analyze this data in the context of other information such as the biological, biochemical, or molecular function of the translated proteins.
Purvesh Khatri+3 more
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Gene expression profiling of cutaneous wound healing
Background Although the sequence of events leading to wound repair has been described at the cellular and, to a limited extent, at the protein level this process has yet to be fully elucidated.
Wang Ena+9 more
doaj +1 more source