AIMC Topic: Genes, p53

Clear Filters Showing 1 to 6 of 6 articles

Machine learning-based investigation of the cancer protein secretory pathway.

PLoS computational biology Apr 5, 2021
Deregulation of the protein secretory pathway (PSP) is linked to many hallmarks of cancer, such as promoting tissue invasion and modulating cell-cell signaling. The collection of secreted proteins processed by the PSP, known as the secretome, is ofte...
Humans Machine Learning Genes, p53 Secretory Pathway Cell Line, Tumor Neoplasm Proteins Mutation Cell Transformation, Neoplastic Biomarkers, Tumor Neoplasms Algorithms
View on PubMed DOI

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images.

Nature communications Dec 11, 2020
Histopathological images are a rich but incompletely explored data type for studying cancer. Manual inspection is time consuming, making it challenging to use for image data mining. Here we show that convolutional neural networks (CNNs) can be system...
Mutation Colonic Neoplasms Computational Biology Area Under Curve Genes, p53 Spatial Behavior Neoplasms Deep Learning Image Processing, Computer-Assisted Genotype Female Breast Neoplasms Humans
View on PubMed DOI

Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach.

World journal of gastroenterology Nov 28, 2021
BACKGROUND: Studies correlating specific genetic mutations and treatment response are ongoing to establish an effective treatment strategy for gastric cancer (GC). To facilitate this research, a cost- and time-effective method to analyze the mutation...
Humans Stomach Neoplasms Mutation Genes, p53 Deep Learning Staining and Labeling
View on PubMed DOI

Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.

World journal of gastroenterology Oct 28, 2020
BACKGROUND: Identifying genetic mutations in cancer patients have been increasingly important because distinctive mutational patterns can be very informative to determine the optimal therapeutic strategy. Recent studies have shown that deep learning-...
Deep Learning Humans Colonic Neoplasms Colorectal Neoplasms Genes, p53 Mutation
View on PubMed DOI

Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods.

Integrative biology : quantitative biosciences from nano to macro May 21, 2020
Characterization of decision-making in cells in response to received signals is of importance for understanding how cell fate is determined. The problem becomes multi-faceted and complex when we consider cellular heterogeneity and dynamics of biochem...
Probability Humans Tumor Suppressor Protein p53 Machine Learning Algorithms Multivariate Analysis ROC Curve Decision Making DNA Damage Normal Distribution Reproducibility of Results Genes, p53 Signal Transduction Outcome Assessment, Health Care PTEN Phosphohydrolase
View on PubMed DOI

KAI1/CD82, Metastasis Suppressor Gene as a Therapeutic Target for Non-Small-Cell Lung Carcinoma.

Journal of environmental pathology, toxicology and oncology : official organ of the International Society for Environmental Toxicology and Cancer Jan 1, 2017
Lung cancer is the most frequent malignancy and the leading cause of cancer-related death worldwide; it is the second most common cancer, comprising 1.69 million deaths worldwide per year. Among these, 85% of lung cancers are non-small-cell lung carc...
Kangai-1 Protein ErbB Receptors Lung Neoplasms Humans Wnt Signaling Pathway Genes, Tumor Suppressor Carcinoma, Non-Small-Cell Lung Genes, p53
View on PubMed DOI
Popular Topics
Recent Journals