AIMC Topic: Atlases as Topic
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Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 7, 2018
Transcriptome in brain plays a crucial role in understanding the cortical organization and the development of brain structure and function. Two challenges, incomplete data and high dimensionality of transcriptome, remain unsolved. Here, we present a ...
Finding disagreement pathway signatures and constructing an ensemble model for cancer classification.
Scientific reports
Aug 30, 2017
Cancer classification based on molecular level is a relatively routine research procedure with advances in high-throughput molecular profiling techniques. However, the number of genes typically far exceeds the number of the sample size in gene expres...
Local manifold learning for multiatlas segmentation: application to hippocampal segmentation in healthy population and Alzheimer's disease.
CNS neuroscience & therapeutics
Jun 30, 2015
AIMS: Automated hippocampal segmentation is an important issue in many neuroscience studies.
The SESAME Human-Earth Atlas.
Scientific data
May 12, 2025
Human activities such as food production, mining, transportation, and construction have extensively modified Earth's land and marine environments, causing biodiversity loss, water pollution, soil erosion, and climate change. However, studying spatial...
OpenMAP-T1: A Rapid Deep-Learning Approach to Parcellate 280 Anatomical Regions to Cover the Whole Brain.
Human brain mapping
Nov 1, 2024
This study introduces OpenMAP-T1, a deep-learning-based method for rapid and accurate whole-brain parcellation in T1- weighted brain MRI, which aims to overcome the limitations of conventional normalization-to-atlas-based approaches and multi-atlas l...
HervD Atlas: a curated knowledgebase of associations between human endogenous retroviruses and diseases.
Nucleic acids research
Jan 5, 2024
Human endogenous retroviruses (HERVs), as remnants of ancient exogenous retrovirus infected and integrated into germ cells, comprise ∼8% of the human genome. These HERVs have been implicated in numerous diseases, and extensive research has been condu...
DrugMAP: molecular atlas and pharma-information of all drugs.
Nucleic acids research
Jan 6, 2023
The efficacy and safety of drugs are widely known to be determined by their interactions with multiple molecules of pharmacological importance, and it is therefore essential to systematically depict the molecular atlas and pharma-information of studi...
Epitome: predicting epigenetic events in novel cell types with multi-cell deep ensemble learning.
Nucleic acids research
Nov 8, 2021
The accumulation of large epigenomics data consortiums provides us with the opportunity to extrapolate existing knowledge to new cell types and conditions. We propose Epitome, a deep neural network that learns similarities of chromatin accessibility ...
Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients.
Briefings in bioinformatics
Sep 2, 2021
Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely limited treatment options. Immunotherapy has been widely studied in GBM, but none can significantly prolong the overall survival (OS) of patients without selection...
Atlases as Topic
Brain Neoplasms
Male
Programmed Cell Death 1 Receptor
Middle Aged
Survival Analysis
Gene Expression Profiling
Female
Temozolomide
Transcriptome
Aged
Antineoplastic Agents, Alkylating
Immunotherapy
Adult
Gene Expression Regulation, Neoplastic
Tumor Microenvironment
Neoplastic Stem Cells
Treatment Outcome
Humans
Glioblastoma
Machine Learning
Patient Selection
Prognosis
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...
Datasets as Topic
Central Nervous System
Proportional Hazards Models
Kaplan-Meier Estimate
Signal Transduction
Neoplasm Proteins
Glioblastoma
Molecular Sequence Annotation
Gene Ontology
Atlases as Topic
Glutamic Acid
Humans
Machine Learning
Brain Neoplasms
Gene Expression Profiling
Gene Regulatory Networks
Computational Biology
Gene Expression Regulation, Neoplastic
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