AIMC Topic: Gene Expression Regulation, Neoplastic
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Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network.
Briefings in bioinformatics
Sep 2, 2021
Triple-negative breast cancer (TNBC) has been a challenging breast cancer subtype for oncological therapy. Normally, it can be classified into different molecular subtypes. Accurate and stable classification of the six subtypes is essential for perso...
Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression.
Briefings in bioinformatics
Sep 2, 2021
Glioblastoma (GBM) is a common malignant brain tumor which often presents as a comorbidity with central nervous system (CNS) disorders. Both CNS disorders and GBM cells release glutamate and show an abnormality, but differ in cellular behavior. So, t...
Gene Expression Regulation, Neoplastic
Signal Transduction
Neoplasm Proteins
Glioblastoma
Gene Expression Profiling
Gene Regulatory Networks
Computational Biology
Molecular Sequence Annotation
Gene Ontology
Atlases as Topic
Glutamic Acid
Datasets as Topic
Central Nervous System
Proportional Hazards Models
Kaplan-Meier Estimate
Humans
Machine Learning
Brain Neoplasms
A graph auto-encoder model for miRNA-disease associations prediction.
Briefings in bioinformatics
Jul 20, 2021
Emerging evidence indicates that the abnormal expression of miRNAs involves in the evolution and progression of various human complex diseases. Identifying disease-related miRNAs as new biomarkers can promote the development of disease pathology and ...
Machine learning-based integrative analysis of methylome and transcriptome identifies novel prognostic DNA methylation signature in uveal melanoma.
Briefings in bioinformatics
Jul 20, 2021
Uveal melanoma (UVM) is the most common primary intraocular human malignancy with a high mortality rate. Aberrant DNA methylation has rapidly emerged as a diagnostic and prognostic signature in many cancers. However, such DNA methylation signature av...
Humans
Machine Learning
Female
Melanoma
Aged
Aged, 80 and over
DNA Methylation
DNA, Neoplasm
Neoplasm Proteins
Adult
Middle Aged
Uveal Neoplasms
Predictive Value of Tests
Survival Rate
Gene Expression Profiling
Uveal Melanoma
Disease-Free Survival
Male
Transcriptome
Gene Expression Regulation, Neoplastic
Unveiling the immune infiltrate modulation in cancer and response to immunotherapy by MIXTURE-an enhanced deconvolution method.
Briefings in bioinformatics
Jul 20, 2021
The accurate quantification of tumor-infiltrating immune cells turns crucial to uncover their role in tumor immune escape, to determine patient prognosis and to predict response to immune checkpoint blockade. Current state-of-the-art methods that qua...
Prognostic outcome prediction by semi-supervised least squares classification.
Briefings in bioinformatics
Jul 20, 2021
Although great progress has been made in prognostic outcome prediction, small sample size remains a challenge in obtaining accurate and robust classifiers. We proposed the Rescaled linear square Regression based Least Squares Learning (RRLSL), a join...
Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma.
Briefings in bioinformatics
Jul 20, 2021
Angiosarcomas are soft-tissue sarcomas that form malignant vascular tissues. Angiosarcomas are very rare, and due to their aggressive behavior and high metastatic propensity, they have poor clinical outcomes. Hemangiosarcomas commonly occur in domest...
FS-GBDT: identification multicancer-risk module via a feature selection algorithm by integrating Fisher score and GBDT.
Briefings in bioinformatics
May 20, 2021
Cancer is a highly heterogeneous disease caused by dysregulation in different cell types and tissues. However, different cancers may share common mechanisms. It is critical to identify decisive genes involved in the development and progression of can...
scCancer: a package for automated processing of single-cell RNA-seq data in cancer.
Briefings in bioinformatics
May 20, 2021
Molecular heterogeneities and complex microenvironments bring great challenges for cancer diagnosis and treatment. Recent advances in single-cell RNA-sequencing (scRNA-seq) technology make it possible to study cancer cell heterogeneities and microenv...
Prediction of Chemosensitivity in Multiple Primary Cancer Patients Using Machine Learning.
Anticancer research
May 1, 2021
BACKGROUND/AIM: Many cancer patients face multiple primary cancers. It is challenging to find an anticancer therapy that covers both cancer types in such patients. In personalized medicine, drug response is predicted using genomic information, which ...
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