AIMC Topic: Gene Expression Regulation, Neoplastic

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Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats From Treatment of Breast Cancer at a Single Institution.

Clinical and translational science Jan 1, 2018
Precision medicine is at the forefront of biomedical research. Cancer registries provide rich perspectives and electronic health records (EHRs) are commonly utilized to gather additional clinical data elements needed for translational research. Howev...
Humans Phenotype Precision Medicine Natural Language Processing Receptor, ErbB-2 Receptors, Estrogen Antineoplastic Agents, Hormonal Receptors, Progesterone Electronic Health Records Female Breast Neoplasms Gene Expression Regulation, Neoplastic
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Image-based surrogate biomarkers for molecular subtypes of colorectal cancer.

Bioinformatics (Oxford, England) Jul 1, 2017
MOTIVATION: Whole genome expression profiling of large cohorts of different types of cancer led to the identification of distinct molecular subcategories (subtypes) that may partially explain the observed inter-tumoral heterogeneity. This is also the...
Support Vector Machine Humans Colorectal Neoplasms Neural Networks, Computer Biomarkers, Tumor Prognosis Image Processing, Computer-Assisted Gene Expression Regulation, Neoplastic
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Model-based unsupervised learning informs metformin-induced cell-migration inhibition through an AMPK-independent mechanism in breast cancer.

Oncotarget Apr 18, 2017
We demonstrate that model-based unsupervised learning can uniquely discriminate single-cell subpopulations by their gene expression distributions, which in turn allow us to identify specific genes for focused functional studies. This method was appli...
Humans Cluster Analysis Unsupervised Machine Learning Computational Biology AMP-Activated Protein Kinases Metformin Gene Expression Regulation, Neoplastic Female Gene Knockdown Techniques Signal Transduction Breast Neoplasms cdc42 GTP-Binding Protein Cell Movement Gene Expression Profiling Cell Line, Tumor
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Support Vector Machine Based on microRNA Expression Profiles to Predict Histological Origin of Ampullary Carcinoma: Case Report of a Patient Affected From Adenocarcinoma of the Papilla of Vater With Lynch Syndrome.

Pancreas Apr 1, 2016
Adenocarcinomas of Vater's papilla (PVAC) may originate from either the pancreatic duct or the intestinal epithelium. Conflicting data have been reported about the frequency of the 2 anatomical entities and their influence on patients' prognosis. To ...
Child Gene Expression Regulation, Neoplastic Adenocarcinoma Support Vector Machine Male Middle Aged Gene Expression Profiling Adolescent Pedigree Colorectal Neoplasms, Hereditary Nonpolyposis Ampulla of Vater Pancreatic Ducts MicroRNAs Pancreatic Neoplasms Carcinoma Family Health Female Young Adult Adult Humans Prognosis
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Intraoperative Diagnosis Support Tool for Serous Ovarian Tumors Based on Microarray Data Using Multicategory Machine Learning.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society Jan 1, 2016
OBJECTIVES: Serous borderline ovarian tumors (SBOTs) are a subtype of serous ovarian carcinoma with atypical proliferation. Frozen-section diagnosis has been used as an intraoperative diagnosis tool in supporting the fertility-sparing surgery by diag...
Carcinoma, Ovarian Epithelial Immunoenzyme Techniques Neoplasms, Glandular and Epithelial Cystadenocarcinoma, Serous Ovarian Neoplasms Machine Learning Predictive Value of Tests Prognosis Blotting, Western Female RNA, Messenger Neoplasm Staging Survival Rate Gene Expression Regulation, Neoplastic Monitoring, Intraoperative Biomarkers, Tumor Humans Support Vector Machine Real-Time Polymerase Chain Reaction Gene Expression Profiling Databases, Genetic Reverse Transcriptase Polymerase Chain Reaction
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[Study of FN1 and ZNF438 gene expression negatively regulated by androgen receptor in androgen-independent LNCaP cells].

Zhonghua yi xue za zhi Dec 19, 2015
OBJECTIVE: To verify whether FN1 and ZNF438 are the androgen receptor(AR) target genes in LNCaP-AI cells and investigate the effects of AR exerts on FN1 and ZNF438 gene expression.
Fibronectins Repressor Proteins Gene Expression Regulation, Neoplastic Humans Down-Regulation Androgens Gene Expression Male Receptors, Androgen Dihydrotestosterone Blotting, Western Cell Line, Tumor Oligonucleotide Array Sequence Analysis Prostatic Neoplasms RNA, Messenger
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A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant derived molecules: a case study in oral cancer.

Molecular bioSystems Dec 1, 2015
Systems-biology inspired identification of drug targets and machine learning-based screening of small molecules which modulate their activity have the potential to revolutionize modern drug discovery by complementing conventional methods. To utilize ...
Machine Learning Drug Discovery Cell Line, Tumor ROC Curve Computational Biology Gene Expression Regulation, Neoplastic Antineoplastic Agents, Phytogenic Gene Regulatory Networks Protein Binding Humans Molecular Conformation Receptors, CXCR4 Binding Sites Models, Molecular Protein Interaction Mapping Mouth Neoplasms High-Throughput Screening Assays
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Regulation of demethylation and re-expression of RASSF1A gene in hepatocellular carcinoma cell lines treated with NCTD in vitro.

Journal of cancer research and therapeutics Jan 1, 2015
BACKGROUND: Hepatocellular carcinoma, a lethal malignant neoplasm with poor prognosis, has dismal results of surgical resection and chemoradiotherapy. Norcantharidin (NCTD), the demethylated analog of cantharidin derived from a traditional Chinese me...
DNA Methylation Humans Blotting, Western In Vitro Techniques Tumor Suppressor Proteins Tumor Cells, Cultured Liver Neoplasms Bridged Bicyclo Compounds, Heterocyclic Carcinoma, Hepatocellular Gene Expression Regulation, Neoplastic
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Employing social network analysis for disease biomarker detection.

International journal of data mining and bioinformatics Jan 1, 2015
Detection of disease biomarkers in general and cancer biomarkers in particular is an important task which has received considerable attention in the area of in silico genomic experiments. We describe a new approach for detecting cancer biomarkers bas...
Animals Neoplasms Humans Gene Expression Regulation, Neoplastic Artificial Intelligence Databases, Genetic Biomarkers, Tumor Oligonucleotide Array Sequence Analysis
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Regularised extreme learning machine with misclassification cost and rejection cost for gene expression data classification.

International journal of data mining and bioinformatics Jan 1, 2015
The main purpose of traditional classification algorithms on bioinformatics application is to acquire better classification accuracy. However, these algorithms cannot meet the requirement that minimises the average misclassification cost. In this pap...
Databases, Genetic Neoplasm Proteins Colonic Neoplasms Humans Artificial Intelligence Algorithms Gene Expression Regulation, Neoplastic
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