AIMC Topic: Neoplasm Proteins

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The co-regulators SRC-1 and SMRT are involved in interleukin-6-induced androgen receptor activation.

European cytokine network Nov 1, 2016
BACKGROUND: The androgen receptor (AR) can be stimulated by interleukin-6 (IL-6) in the absence of androgens to induce prostate cancer progression. The purpose of this study was to investigate whether the co-activator steroid receptor coactivator-1 (...
Nuclear Receptor Co-Repressor 2 Nuclear Receptor Coactivator 1 Humans Interleukin-6 Cell Line, Tumor Male Neoplasm Proteins Prostatic Neoplasms Receptors, Androgen
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Association of ATP-Binding Cassette Transporter (ABC) Gene Polymorphisms with Viral Load in Patients with Genotype 1 Hepatitis C Virus Infection.

Clinical laboratory Sep 1, 2016
BACKGROUND: ATP-binding cassette transporters (ABC) gene polymorphisms are associated with various biological functions, including hepatitis C virus (HCV) infection. This study aims to explore the impact of ABC transporters polymorphisms on HCV viral...
ATP Binding Cassette Transporter, Subfamily B, Member 1 Hepacivirus Humans Hepatitis C, Chronic Gene Frequency Female ATP Binding Cassette Transporter, Subfamily G, Member 2 ATP Binding Cassette Transporter, Subfamily G, Member 5 Interleukins Viral Load Male ATP Binding Cassette Transporter, Subfamily B Polymorphism, Single Nucleotide Middle Aged Neoplasm Proteins ATP Binding Cassette Transporter, Subfamily B, Member 11 ATP-Binding Cassette Transporters Genotype ATP Binding Cassette Transporter 1 Lipoproteins
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Protein interaction network constructing based on text mining and reinforcement learning with application to prostate cancer.

IET systems biology Aug 1, 2015
Constructing interaction network from biomedical texts is a very important and interesting work. The authors take advantage of text mining and reinforcement learning approaches to establish protein interaction network. Considering the high computatio...
Data Mining Humans Periodicals as Topic Signal Transduction Machine Learning Protein Interaction Mapping Natural Language Processing Neoplasm Proteins Male PubMed Prostatic Neoplasms
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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...
Colonic Neoplasms Databases, Genetic Neoplasm Proteins Humans Algorithms Artificial Intelligence Gene Expression Regulation, Neoplastic
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A hybrid ensemble method based on double disturbance for classifying microarray data.

Bio-medical materials and engineering Jan 1, 2015
Microarray data has small samples and high dimension, and it contains a significant amount of irrelevant and redundant genes. This paper proposes a hybrid ensemble method based on double disturbance to improve classification performance. Firstly, ori...
Gene Expression Profiling Models, Statistical Computer Simulation Neoplasms Oligonucleotide Array Sequence Analysis Neoplasm Proteins Pattern Recognition, Automated Humans Machine Learning Algorithms
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Classification of Breast Cancer Resistant Protein (BCRP) Inhibitors and Non-Inhibitors Using Machine Learning Approaches.

Combinatorial chemistry & high throughput screening Jan 1, 2015
The breast cancer resistant protein (BCRP) is an important transporter and its inhibitors play an important role in cancer treatment by improving the oral bioavailability as well as blood brain barrier (BBB) permeability of anticancer drugs. In this ...
Humans ATP Binding Cassette Transporter, Subfamily G, Member 2 Neoplasm Proteins Neural Networks, Computer ATP-Binding Cassette Transporters Machine Learning
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