AIMC Topic: Gene Expression Profiling
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StressGenePred: a twin prediction model architecture for classifying the stress types of samples and discovering stress-related genes in arabidopsis.
BMC genomics
Dec 20, 2019
BACKGROUND: Recently, a number of studies have been conducted to investigate how plants respond to stress at the cellular molecular level by measuring gene expression profiles over time. As a result, a set of time-series gene expression data for the ...
Transcriptome analysis and identification of genes associated with chicken sperm storage duration.
Poultry science
Dec 13, 2019
The sperm storage tubules located in the mucosal folds of the uterovaginal junction (UVJ) are the primary site of sperm storage in chicken hens after natural mating or artificial insemination (AI). The short-term sperm storage (24 h after mating or A...
Identification of distinct blood-based biomarkers in early stage of Parkinson's disease.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Dec 11, 2019
Parkinson's disease (PD) is a slowly progressive geriatric disease, which can be one of the leading causes of serious socioeconomic burden in the aging society. Clinical trials suggest that prompt treatment of early-stage Parkinson's disease (EPD) ma...
Identification of aberrantly methylated‑differentially expressed genes and gene ontology in prostate cancer.
Molecular medicine reports
Dec 11, 2019
Prostate cancer (PCa) is the most frequent urological malignancy in men worldwide. DNA methylation has an essential role in the etiology and pathogenesis of PCa. The purpose of the present study was to identify the aberrantly methylated‑differentiall...
Global transcriptome analysis reveals relevant effects at environmental concentrations of cypermethrin in honey bees (Apis mellifera).
Environmental pollution (Barking, Essex : 1987)
Dec 4, 2019
Cypermethrin is a frequently used insecticide in agriculture and households but its chronic and molecular effects are poorly known are . Here we describe effects of sublethal cypermethrin exposure on the global transcriptome in the brain of honey bee...
The integrative knowledge base for miRNA-mRNA expression in colorectal cancer.
Scientific reports
Dec 2, 2019
"miRNA colorectal cancer" (https://mirna-coadread.omics.si/) is a freely available web application for studying microRNA and mRNA expression and their correlation in colorectal cancer. To the best of our knowledge, "miRNA colorectal cancer" has the l...
Evaluation of colorectal cancer subtypes and cell lines using deep learning.
Life science alliance
Dec 2, 2019
Colorectal cancer (CRC) is a common cancer with a high mortality rate and a rising incidence rate in the developed world. Molecular profiling techniques have been used to better understand the variability between tumors and disease models such as cel...
CDSeq: A novel complete deconvolution method for dissecting heterogeneous samples using gene expression data.
PLoS computational biology
Dec 2, 2019
Quantifying cell-type proportions and their corresponding gene expression profiles in tissue samples would enhance understanding of the contributions of individual cell types to the physiological states of the tissue. Current approaches that address ...
SGL-SVM: A novel method for tumor classification via support vector machine with sparse group Lasso.
Journal of theoretical biology
Nov 28, 2019
At present, with the in-depth study of gene expression data, the significant role of tumor classification in clinical medicine has become more apparent. In particular, the sparse characteristics of gene expression data within and between groups. Ther...
Dissection of gene expression datasets into clinically relevant interaction signatures via high-dimensional correlation maximization.
Nature communications
Nov 28, 2019
Gene expression is controlled by many simultaneous interactions, frequently measured collectively in biology and medicine by high-throughput technologies. It is a highly challenging task to infer from these data the generating effects and cooperating...
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