AIMC Topic: Neoplasm Proteins

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Identification of Cancer Biomarkers in Human Body Fluids by Using Enhanced Physicochemical-incorporated Evolutionary Conservation Scheme.

Current topics in medicinal chemistry Jan 1, 2020
OBJECTIVE: Cancer is one of the most serious diseases affecting human health. Among all current cancer treatments, early diagnosis and control significantly help increase the chances of cure. Detecting cancer biomarkers in body fluids now is attracti...
Databases, Protein Neoplasm Proteins Humans Body Fluids Biomarkers, Tumor Chemistry, Physical Neoplasms Position-Specific Scoring Matrices Support Vector Machine
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In vitro study of the nephrotoxicity of total Dahuang (Radix Et Rhizoma Rhei Palmati) anthraquinones and emodin in monolayer human proximal tubular epithelial cells cultured in a transwell chamber.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan Oct 1, 2019
OBJECTIVE: To examine changes in the morphology and physiological functions of human proximal tubular epithelial cells (HK-2 cells) caused by total Dahuang (Radix Et Rhizoma Rhei Palmati) anthraquinones (TDA) and emodin.
Absorption, Physicochemical Humans Neoplasm Proteins Kidney Tubules, Proximal Actins Glucose Cell Proliferation Rheum L-Lactate Dehydrogenase Emodin Anthraquinones Cell Line gamma-Glutamyltransferase Gene Expression Regulation Hepatitis A Virus Cellular Receptor 1 Epithelial Cells
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Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due to CEP290 or NPHP5 Mutations: Predictions From Artificial Intelligence.

Investigative ophthalmology & visual science Jun 3, 2019
PURPOSE: To use supervised machine learning to predict visual function from retinal structure in retinitis pigmentosa (RP) and apply these estimates to CEP290- and NPHP5-associated Leber congenital amaurosis (LCA) to determine the potential for funct...
Color Vision Defects Retinal Cone Photoreceptor Cells Calmodulin-Binding Proteins Leber Congenital Amaurosis Retinitis Pigmentosa Visual Field Tests Cytoskeletal Proteins Genetic Therapy Cell Cycle Proteins Adult Humans Male Machine Learning Tomography, Optical Coherence Middle Aged Female Mutation Adolescent Antigens, Neoplasm Young Adult Visual Fields Neoplasm Proteins
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DriverML: a machine learning algorithm for identifying driver genes in cancer sequencing studies.

Nucleic acids research May 7, 2019
Although rapid progress has been made in computational approaches for prioritizing cancer driver genes, research is far from achieving the ultimate goal of discovering a complete catalog of genes truly associated with cancer. Driver gene lists predic...
Humans Machine Learning Software Nuclear Proteins Cell Movement Neoplasm Proteins Mutation Datasets as Topic Neoplasms Cell Line, Tumor Gene Expression Regulation, Neoplastic Cell Proliferation Monte Carlo Method Cell Cycle Proteins Atlases as Topic Oncogenes
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A parsimonious 3-gene signature predicts clinical outcomes in an acute myeloid leukemia multicohort study.

Blood advances Apr 23, 2019
Acute myeloid leukemia (AML) is a genetically heterogeneous hematological malignancy with variable responses to chemotherapy. Although recurring cytogenetic abnormalities and gene mutations are important predictors of outcome, 50% to 70% of AMLs harb...
Disease-Free Survival Databases, Genetic Neoplasm Proteins Predictive Value of Tests Models, Biological Leukemia, Myeloid, Acute Male Middle Aged Female Risk Assessment Infant, Newborn Child, Preschool Adult Child Survival Rate Infant Gene Expression Regulation, Neoplastic Humans Adolescent Neural Networks, Computer
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Deep learning for tumor classification in imaging mass spectrometry.

Bioinformatics (Oxford, England) Apr 1, 2018
MOTIVATION: Tumor classification using imaging mass spectrometry (IMS) data has a high potential for future applications in pathology. Due to the complexity and size of the data, automated feature extraction and classification steps are required to f...
Neoplasm Proteins Supervised Machine Learning Neoplasms Humans Computational Biology Animals Mass Spectrometry
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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 (...
Prostatic Neoplasms Receptors, Androgen Interleukin-6 Nuclear Receptor Co-Repressor 2 Humans Nuclear Receptor Coactivator 1 Male Cell Line, Tumor Neoplasm Proteins
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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 11 ATP Binding Cassette Transporter, Subfamily G, Member 2 ATP Binding Cassette Transporter, Subfamily G, Member 5 Gene Frequency ATP-Binding Cassette Transporters Viral Load ATP Binding Cassette Transporter 1 ATP Binding Cassette Transporter, Subfamily B Polymorphism, Single Nucleotide Neoplasm Proteins Genotype ATP Binding Cassette Transporter, Subfamily B, Member 1 Lipoproteins Humans Hepacivirus Interleukins Female Hepatitis C, Chronic Male Middle Aged
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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...
Periodicals as Topic PubMed Data Mining Protein Interaction Mapping Signal Transduction Humans Neoplasm Proteins Machine Learning Natural Language Processing Male 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...
Humans Gene Expression Regulation, Neoplastic Databases, Genetic Neoplasm Proteins Artificial Intelligence Algorithms Colonic Neoplasms
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