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ROC Curve

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Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data.

Scientific reports Dec 30, 2019
In many research areas scientists are interested in clustering objects within small datasets while making use of prior knowledge from large reference datasets. We propose a method to apply the machine learning concept of transfer learning to unsuperv...
Humans Machine Learning Gene Expression Profiling Transcriptome Algorithms Reproducibility of Results Sequence Analysis, RNA Cluster Analysis High-Throughput Nucleotide Sequencing ROC Curve Single-Cell Analysis Computational Biology
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Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network.

Journal of gastroenterology and hepatology Dec 27, 2019
BACKGROUND AND AIM: Detecting blood content in the gastrointestinal tract is one of the crucial applications of capsule endoscopy (CE). The suspected blood indicator (SBI) is a conventional tool used to automatically tag images depicting possible ble...
Area Under Curve Humans Capsule Endoscopy Neural Networks, Computer Retrospective Studies Intestine, Small Sensitivity and Specificity Blood Deep Learning ROC Curve
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Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

Computer methods and programs in biomedicine Dec 27, 2019
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.
Chemical and Drug Induced Liver Injury Tuberculosis Gene Frequency Polymorphism, Genetic Aged, 80 and over ROC Curve Liver Machine Learning Adult Genomics Taiwan Male Female Sensitivity and Specificity Genotype Antitubercular Agents Middle Aged Humans Support Vector Machine Reproducibility of Results Drug Discovery Neural Networks, Computer Risk Factors Aged
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Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter.

BMC genomics Dec 27, 2019
BACKGROUND: Identification of protein-protein interactions (PPIs) is crucial for understanding biological processes and investigating the cellular functions of genes. Self-interacting proteins (SIPs) are those in which more than two identical protein...
ROC Curve Saccharomyces cerevisiae Protein Interaction Maps Saccharomyces cerevisiae Proteins Support Vector Machine Principal Component Analysis Humans Area Under Curve Proteins Databases, Protein
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A computational method to predict topologically associating domain boundaries combining histone Marks and sequence information.

BMC genomics Dec 27, 2019
BACKGROUND: The three-dimensional (3D) structure of chromatins plays significant roles during cell differentiation and development. Hi-C and other 3C-based technologies allow us to look deep into the chromatin architectures. Many studies have suggest...
Area Under Curve Algorithms Histones Neural Networks, Computer ROC Curve Chromatin Histone Code Protein Binding
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iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks.

BMC bioinformatics Dec 27, 2019
BACKGROUND: Since protein-DNA interactions are highly essential to diverse biological events, accurately positioning the location of the DNA-binding residues is necessary. This biological issue, however, is currently a challenging task in the age of ...
DNA Amino Acids DNA-Binding Proteins Amino Acid Sequence Algorithms Reproducibility of Results ROC Curve Position-Specific Scoring Matrices Neural Networks, Computer Software Humans
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IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning.

BMC bioinformatics Dec 27, 2019
BACKGROUND: Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden virus-receptor interactions ...
Algorithms Reproducibility of Results ROC Curve Least-Squares Analysis Humans Software Supervised Machine Learning Viruses Receptors, Virus
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Predicting breast cancer risk using personal health data and machine learning models.

PloS one Dec 27, 2019
Among women, breast cancer is a leading cause of death. Breast cancer risk predictions can inform screening and preventative actions. Previous works found that adding inputs to the widely-used Gail model improved its ability to predict breast cancer ...
Risk Assessment Aged ROC Curve Humans Breast Neoplasms Health Records, Personal Machine Learning Middle Aged Female
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Classification of adaptor proteins using recurrent neural networks and PSSM profiles.

BMC genomics Dec 24, 2019
BACKGROUND: Adaptor proteins are carrier proteins that play a crucial role in signal transduction. They commonly consist of several modular domains, each having its own binding activity and operating by forming complexes with other intracellular-sign...
Position-Specific Scoring Matrices Deep Learning ROC Curve Adaptor Proteins, Signal Transducing
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Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.

BMC bioinformatics Dec 24, 2019
BACKGROUND: Accurate identification of potential interactions between drugs and protein targets is a critical step to accelerate drug discovery. Despite many relative experimental researches have been done in the past decades, detecting drug-target i...
Humans Enzymes Neural Networks, Computer Area Under Curve Protein Binding User-Computer Interface Proteins Pharmaceutical Preparations ROC Curve Amino Acid Sequence
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