AIMC Topic: Neoplasm Proteins

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Machine Learning and Bioinformatics Models to Identify Pathways that Mediate Influences of Welding Fumes on Cancer Progression.

Scientific reports Feb 17, 2020
Welding generates and releases fumes that are hazardous to human health. Welding fumes (WFs) are a complex mix of metallic oxides, fluorides and silicates that can cause or exacerbate health problems in exposed individuals. In particular, WF inhalati...
Humans Machine Learning Neoplasms Inhalation Exposure Gases Air Pollutants, Occupational Welding Computational Biology Gene Expression Regulation, Neoplastic Neoplasm Proteins Metabolic Networks and Pathways
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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...
Models, Biological Sequence Analysis, DNA DNA Copy Number Variations Neoplasm Proteins Mutation Humans Machine Learning Colorectal Neoplasms Biomarkers, Tumor Gene Expression Profiling Deep Learning Cell Line, Tumor
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Identifying Cancer-Specific circRNA-RBP Binding Sites Based on Deep Learning.

Molecules (Basel, Switzerland) Nov 7, 2019
Circular RNAs (circRNAs) are extensively expressed in cells and tissues, and play crucial roles in human diseases and biological processes. Recent studies have reported that circRNAs could function as RNA binding protein (RBP) sponges, meanwhile RBPs...
Humans Neoplasms RNA, Circular Neoplasm Proteins Binding Sites Sequence Analysis, Protein Deep Learning RNA, Neoplasm RNA-Binding Proteins Databases, Protein
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System-level responses to cisplatin in pro-apoptotic stages of breast cancer MCF-7 cell line.

Computational biology and chemistry Nov 2, 2019
Cisplatin ceases cell division and induces apoptosis in cancer cell lines. It is well established that cisplatin alters the expression of many genes involved in several cellular processes and pathways including transcription, p53 signaling pathway, a...
Protein Interaction Maps Gene Regulatory Networks Gene Expression Regulation, Neoplastic Cell Proliferation Breast Neoplasms Drug Discovery Antineoplastic Agents Cisplatin Gene Ontology Apoptosis Neoplasm Proteins Drug Screening Assays, Antitumor MCF-7 Cells Humans Software Female
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A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.

PloS one Oct 2, 2019
PURPOSE: Development of a supervised machine-learning model capable of predicting clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from diffusion-weighted-imaging-derived radiomic features.
Survival Rate Sensitivity and Specificity Male Middle Aged Antineoplastic Combined Chemotherapy Protocols Keratins, Type II Oxaliplatin Leucovorin Pancreatic Neoplasms Neoplasm Proteins Deoxycytidine Machine Learning Gemcitabine Humans Retrospective Studies Irinotecan Female Keratins, Hair-Specific Fluorouracil Adult Carcinoma, Pancreatic Ductal Disease-Free Survival
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Screening of disorders associated with osteosarcoma by integrated network analysis.

Bioscience reports May 21, 2019
Osteosarcoma is a common malignant bone tumor in children and adolescents under the age of 20. However, research on the pathogenesis and treatment of osteosarcoma is still insufficient. In the present study, based on gene-phenotype correlation networ...
Gene Expression Regulation, Neoplastic Osteosarcoma Bone Neoplasms Neoplasm Proteins Gene Ontology Humans Gene Expression Profiling Gene Regulatory Networks
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Multilayer network analysis of miRNA and protein expression profiles in breast cancer patients.

PloS one Apr 4, 2019
MiRNAs and proteins play important roles in different stages of breast tumor development and serve as biomarkers for the early diagnosis of breast cancer. A new algorithm that combines machine learning algorithms and multilayer complex network analys...
RNA, Neoplasm Gene Expression Regulation, Neoplastic MicroRNAs Neoplasm Proteins Humans Machine Learning Female Breast Neoplasms Gene Expression Profiling Gene Regulatory Networks
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Integrative Gene Selection on Gene Expression Data: Providing Biological Context to Traditional Approaches.

Journal of integrative bioinformatics Dec 22, 2018
The advance of high-throughput RNA-Sequencing techniques enables researchers to analyze the complete gene activity in particular cells. From the insights of such analyses, researchers can identify disease-specific expression profiles, thus understand...
Gene Expression Profiling Knowledge Bases Computational Biology Pattern Recognition, Automated Gene Expression Regulation, Neoplastic Humans Neoplasm Proteins Algorithms Neoplasms
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Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks.

Analytical biochemistry Jun 13, 2018
Deep learning has been increasingly used to solve a number of problems with state-of-the-art performance in a wide variety of fields. In biology, deep learning can be applied to reduce feature extraction time and achieve high levels of performance. I...
Cell Membrane Humans rab GTP-Binding Proteins Protein Transport Neural Networks, Computer Intellectual Disability Machine Learning Neoplasms Choroideremia Neoplasm Proteins Models, Biological
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Agonists of G-Protein-Coupled Odorant Receptors Are Predicted from Chemical Features.

The journal of physical chemistry letters Apr 17, 2018
Predicting the activity of chemicals for a given odorant receptor is a longstanding challenge. Here the activity of 258 chemicals on the human G-protein-coupled odorant receptor (OR)51E1, also known as prostate-specific G-protein-coupled receptor 2 (...
Models, Molecular Drug Evaluation, Preclinical Fatty Acids Ligands Protein Binding Receptors, Odorant Humans Mice Machine Learning Receptors, G-Protein-Coupled Animals Neoplasm Proteins
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