AIMC Topic: Datasets as Topic

Clear Filters Showing 901 to 910 of 1098 articles

NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning.

Nucleic acids research Jul 5, 2022
Recent advances in machine learning and natural language processing have made it possible to profoundly advance our ability to accurately predict protein structures and their functions. While such improvements are significantly impacting the fields o...
Time Factors Proteins Natural Language Processing Computers Deep Learning Solvents Datasets as Topic Software Protein Structure, Secondary Internet Amino Acid Sequence
View on PubMed DOI

The derivation of an International Classification of Diseases, Tenth Revision-based trauma-related mortality model using machine learning.

The journal of trauma and acute care surgery Mar 1, 2022
BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following trauma-related admissions with the most notable being the Injury Severity Score (ISS). Although easy to calculate, it requires additional administrati...
Survival Analysis Datasets as Topic Wounds and Injuries International Classification of Diseases Machine Learning Decision Trees Humans
View on PubMed DOI

Organism-specific training improves performance of linear B-cell epitope prediction.

Bioinformatics (Oxford, England) Dec 11, 2021
MOTIVATION: In silico identification of linear B-cell epitopes represents an important step in the development of diagnostic tests and vaccine candidates, by providing potential high-probability targets for experimental investigation. Current predict...
Epitopes, B-Lymphocyte Epitope Mapping Species Specificity Sequence Analysis, Protein Humans Animals Datasets as Topic Machine Learning
View on PubMed DOI

Comparative evaluation of shape retrieval methods on macromolecular surfaces: an application of computer vision methods in structural bioinformatics.

Bioinformatics (Oxford, England) Dec 7, 2021
MOTIVATION: The investigation of the structure of biological systems at the molecular level gives insights about their functions and dynamics. Shape and surface of biomolecules are fundamental to molecular recognition events. Characterizing their geo...
Artificial Intelligence Datasets as Topic Protein Conformation Protein Folding Computational Biology Databases, Protein Sequence Analysis, Protein
View on PubMed DOI

Comparative analysis of molecular fingerprints in prediction of drug combination effects.

Briefings in bioinformatics Nov 5, 2021
Application of machine and deep learning methods in drug discovery and cancer research has gained a considerable amount of attention in the past years. As the field grows, it becomes crucial to systematically evaluate the performance of novel computa...
Uncertainty Drug Synergism Datasets as Topic Drug Discovery Drug Interactions Cell Line, Tumor Regression Analysis Deep Learning Humans High-Throughput Screening Assays Drug Combinations Computer Simulation
View on PubMed DOI

Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models.

Briefings in bioinformatics Nov 5, 2021
The goal of precision oncology is to tailor treatment for patients individually using the genomic profile of their tumors. Pharmacogenomics datasets such as cancer cell lines are among the most valuable resources for drug sensitivity prediction, a cr...
Humans Drug Resistance, Neoplasm Pharmacogenetics Cell Line, Tumor Machine Learning Datasets as Topic Algorithms
View on PubMed DOI

Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects.

Briefings in bioinformatics Nov 5, 2021
Drug combinations have exhibited promising therapeutic effects in treating cancer patients with less toxicity and adverse side effects. However, it is infeasible to experimentally screen the enormous search space of all possible drug combinations. Th...
Drug Therapy, Combination Datasets as Topic Machine Learning Antineoplastic Agents Humans
View on PubMed DOI

iDeepSubMito: identification of protein submitochondrial localization with deep learning.

Briefings in bioinformatics Nov 5, 2021
Mitochondria are membrane-bound organelles containing over 1000 different proteins involved in mitochondrial function, gene expression and metabolic processes. Accurate localization of those proteins in the mitochondrial compartments is critical to t...
Algorithms Deep Learning Neural Networks, Computer Mitochondrial Proteins Submitochondrial Particles Datasets as Topic Protein Transport
View on PubMed DOI

Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison.

Briefings in bioinformatics Nov 5, 2021
The biomedical literature is growing rapidly, and the extraction of meaningful information from the large amount of literature is increasingly important. Biomedical named entity (BioNE) identification is one of the critical and fundamental tasks in b...
Deep Learning Surveys and Questionnaires Datasets as Topic Data Mining Neural Networks, Computer
View on PubMed DOI

Increasing the accuracy of single sequence prediction methods using a deep semi-supervised learning framework.

Bioinformatics (Oxford, England) Nov 5, 2021
MOTIVATION: Over the past 50 years, our ability to model protein sequences with evolutionary information has progressed in leaps and bounds. However, even with the latest deep learning methods, the modelling of a critically important class of protein...
Sequence Analysis, Protein Data Accuracy Computational Biology Datasets as Topic Supervised Machine Learning Amino Acid Sequence
View on PubMed DOI
Popular Topics
Recent Journals