AIMC Topic: Gene Expression Regulation, Neoplastic

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From word models to executable models of signaling networks using automated assembly.

Molecular systems biology Nov 24, 2017
Word models (natural language descriptions of molecular mechanisms) are a common currency in spoken and written communication in biomedicine but are of limited use in predicting the behavior of complex biological networks. We present an approach to b...
Models, Genetic Signal Transduction Natural Language Processing DNA Damage Skin Neoplasms Antineoplastic Agents Cell Line, Tumor Gene Expression Regulation, Neoplastic Tumor Suppressor Protein p53 Proto-Oncogene Proteins p21(ras) Proto-Oncogene Proteins B-raf Vemurafenib Sulfonamides Indoles Enzyme Inhibitors Drug Resistance, Neoplasm Humans Neural Networks, Computer Computer Simulation Language Melanoma
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A novel machine learning approach reveals latent vascular phenotypes predictive of renal cancer outcome.

Scientific reports Oct 16, 2017
Gene expression signatures are commonly used as predictive biomarkers, but do not capture structural features within the tissue architecture. Here we apply a 2-step machine learning framework for quantitative imaging of tumor vasculature to derive a ...
Humans Gene Expression Profiling Gene Expression Regulation, Neoplastic Kidney Neoplasms Kaplan-Meier Estimate Machine Learning Algorithms Prognosis Biomarkers, Tumor Carcinoma, Renal Cell
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Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma.

BMC bioinformatics Oct 3, 2017
BACKGROUND: One approach to improving the personalized treatment of cancer is to understand the cellular signaling transduction pathways that cause cancer at the level of the individual patient. In this study, we used unsupervised deep learning to le...
Gene Expression Regulation, Neoplastic Cluster Analysis Glioblastoma Algorithms Humans Prognosis Machine Learning Brain Neoplasms Gene Expression Profiling
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A support vector machine classifier for the prediction of osteosarcoma metastasis with high accuracy.

International journal of molecular medicine Sep 7, 2017
In this study, gene expression profiles of osteosarcoma (OS) were analyzed to identify critical genes associated with metastasis. Five gene expression datasets were screened and downloaded from Gene Expression Omnibus (GEO). Following assessment by M...
Neoplasm Staging Neoplasm Metastasis Protein Interaction Mapping Signal Transduction Support Vector Machine Osteosarcoma Bone Neoplasms Humans Reproducibility of Results Gene Expression Profiling Protein Interaction Maps Gene Expression Regulation, Neoplastic
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Expression of AdipoR1 and AdipoR2 Receptors as Leptin-Breast Cancer Regulation Mechanisms.

Disease markers Sep 5, 2017
The development of breast cancer is influenced by the adipose tissue through the proteins leptin and adiponectin. However, there is little research concerning AdipoR1 and AdipoR2 receptors and the influence of leptin over them. The objective of this ...
Gene Expression Regulation, Neoplastic Humans MCF-7 Cells Female Leptin Breast Neoplasms Receptors, Adiponectin
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Finding disagreement pathway signatures and constructing an ensemble model for cancer classification.

Scientific reports Aug 30, 2017
Cancer classification based on molecular level is a relatively routine research procedure with advances in high-throughput molecular profiling techniques. However, the number of genes typically far exceeds the number of the sample size in gene expres...
Taxoids Atlases as Topic Anthracyclines Support Vector Machine Neoplasm Proteins Datasets as Topic Oligonucleotide Array Sequence Analysis Gene Regulatory Networks Gene Expression Regulation, Neoplastic Signal Transduction Humans Neoplasms Antineoplastic Agents Gene Expression Profiling
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Employing decomposable partially observable Markov decision processes to control gene regulatory networks.

Artificial intelligence in medicine Jul 18, 2017
OBJECTIVE: Formulate the induction and control of gene regulatory networks (GRNs) from gene expression data using Partially Observable Markov Decision Processes (POMDPs).
Computational Biology Skin Neoplasms Gene Expression Regulation, Neoplastic Humans Gene Expression Profiling Artificial Intelligence Databases, Genetic Transcriptome Melanoma Markov Chains Gene Regulatory Networks
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Integrated gene expression profiling and chromatin immunoprecipitation followed by sequencing: Analysis of the C-terminal binding protein in breast cancer.

The journal of obstetrics and gynaecology research Jun 14, 2017
AIM: This study explored the possible mechanisms of the transcriptional regulatory activities of C-terminal binding protein (CtBP) and the role of CtBP in the pathogenesis of breast cancer.
Humans MCF-7 Cells DNA-Binding Proteins Female Alcohol Oxidoreductases Breast Neoplasms Gene Ontology Gene Expression Profiling Gene Expression Regulation, Neoplastic
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Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles.

Artificial intelligence in medicine Jun 3, 2017
OBJECTIVE: Synergistic drug combinations are promising therapies for cancer treatment. However, effective prediction of synergistic drug combinations is quite challenging as mechanisms of drug synergism are still unclear. Various features such as dru...
Pharmacogenetics Protein Interaction Maps Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic Signal Transduction Antineoplastic Combined Chemotherapy Protocols Databases, Genetic Reproducibility of Results Neoplasms Gene Expression Profiling Transcriptome Humans Artificial Intelligence Computer Simulation Drug Synergism
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Identification of transcription factors that may reprogram lung adenocarcinoma.

Artificial intelligence in medicine Apr 1, 2017
BACKGROUND: Lung adenocarcinoma is one of most threatening disease to human health. Although many efforts have been devoted to its genetic study, few researches have been focused on the transcription factors which regulate tumor initiation and progre...
Cell Transformation, Neoplastic Transcription, Genetic Adenocarcinoma of Lung Transcription Factors Humans Computational Biology Adenocarcinoma Artificial Intelligence Epigenesis, Genetic Databases, Genetic Gene Regulatory Networks Gene Expression Regulation, Neoplastic Lung Neoplasms Signal Transduction
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