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BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information.

International journal of molecular sciences Feb 23, 2019
The interactions between ncRNAs and proteins are critical for regulating various cellular processes in organisms, such as gene expression regulations. However, due to limitations, including financial and material consumptions in recent experimental m...
Position-Specific Scoring Matrices Deep Learning Databases, Protein ROC Curve Software Amino Acid Sequence Protein Binding RNA, Untranslated Computational Biology
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IMACEL: A cloud-based bioimage analysis platform for morphological analysis and image classification.

PloS one Feb 22, 2019
Automated quantitative image analysis is essential for all fields of life science research. Although several software programs and algorithms have been developed for bioimage processing, an advanced knowledge of image processing techniques and high-p...
Cloud Computing Software Machine Learning Image Processing, Computer-Assisted
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Fast Subgraph Matching Strategies Based on Pattern-Only Heuristics.

Interdisciplinary sciences, computational life sciences Feb 21, 2019
Many scientific applications entail solving the subgraph isomorphism problem, i.e., given an input pattern graph, find all the subgraphs of a (usually much larger) target graph that are structurally equivalent to that input. Because subgraph isomorph...
Humans Software Computational Biology Computer Heuristics Algorithms
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A Parametric Design Method for Optimal Quick Diagnostic Software.

Sensors (Basel, Switzerland) Feb 21, 2019
Fault diagnostic software is required to respond to faults as early as possible in time-critical applications. However, the existing methods based on early diagnosis are not adequate. First, there is no common standard to quantify the response time o...
Support Vector Machine Early Diagnosis Algorithms Diagnostic Errors Humans Software
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Whale optimized mixed kernel function of support vector machine for colorectal cancer diagnosis.

Journal of biomedical informatics Feb 20, 2019
Microarray technique is a prevalent method for the classification and prediction of colorectal cancer (CRC). Nevertheless, microarray data suffers from the curse of dimensionality when selecting feature genes of the disease based on imbalance samples...
Gene Expression Profiling Software Transcriptome Humans Support Vector Machine Algorithms Colorectal Neoplasms
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Software Development Effort Estimation Using Regression Fuzzy Models.

Computational intelligence and neuroscience Feb 20, 2019
Software effort estimation plays a critical role in project management. Erroneous results may lead to overestimating or underestimating effort, which can have catastrophic consequences on project resources. Machine-learning techniques are increasingl...
Fuzzy Logic Regression Analysis Neural Networks, Computer Software Machine Learning Algorithms
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AntiVPP 1.0: A portable tool for prediction of antiviral peptides.

Computers in biology and medicine Feb 19, 2019
Viruses are worldwide pathogens with a high impact on the human population. Despite the constant efforts to fight viral infections, there is a need to discover and design new drug candidates. Antiviral peptides are molecules with confirmed activity a...
Peptides User-Computer Interface Computational Biology Decision Trees Antiviral Agents Software Databases, Protein Algorithms Machine Learning
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SignalP 5.0 improves signal peptide predictions using deep neural networks.

Nature biotechnology Feb 18, 2019
Signal peptides (SPs) are short amino acid sequences in the amino terminus of many newly synthesized proteins that target proteins into, or across, membranes. Bioinformatic tools can predict SPs from amino acid sequences, but most cannot distinguish ...
Algorithms Computational Biology Neural Networks, Computer Software Biotechnology Eukaryota Sequence Analysis, Protein Bacterial Proteins Amino Acid Sequence Protein Sorting Signals Archaeal Proteins
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ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm.

Journal of proteome research Feb 18, 2019
The major histocompatibility complex (MHC) is a term for all gene groups of a major histocompatibility antigen. It binds to peptide chains derived from pathogens and displays pathogens on the cell surface to facilitate T-cell recognition and perform ...
Humans Machine Learning Software Internet Histocompatibility Antigens Class I Histocompatibility Antigens Class II Algorithms Computational Biology
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DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins.

BMC bioinformatics Feb 18, 2019
BACKGROUND: Protein ubiquitination occurs when the ubiquitin protein binds to a target protein residue of lysine (K), and it is an important regulator of many cellular functions, such as signal transduction, cell division, and immune reactions, in eu...
Ubiquitination Ubiquitinated Proteins Software Deep Learning Proteome Lysine Humans Proteomics Neural Networks, Computer
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