The role of ontologies in biological and biomedical research: a functional perspective
Ontologies are widely used in biological and biomedical research. Their success lies in their
combination of four main features present in almost all ontologies: provision of standard …
combination of four main features present in almost all ontologies: provision of standard …
Computer vision and machine learning-based gait pattern recognition for flat fall prediction
Background: Gait recognition has been applied in the prediction of the probability of elderly
flat ground fall, functional evaluation during rehabilitation, and the training of patients with …
flat ground fall, functional evaluation during rehabilitation, and the training of patients with …
A review of protein function prediction under machine learning perspective
Protein function prediction is one of the most challenging problems in the post-genomic era.
The number of newly identified proteins has been exponentially increasing with the …
The number of newly identified proteins has been exponentially increasing with the …
ProNA2020 predicts protein–DNA, protein–RNA, and protein–protein binding proteins and residues from sequence
The intricate details of how proteins bind to proteins, DNA, and RNA are crucial for the
understanding of almost all biological processes. Disease-causing sequence variants often …
understanding of almost all biological processes. Disease-causing sequence variants often …
Identification of motor and mental imagery EEG in two and multiclass subject-dependent tasks using successive decomposition index
The development of fast and robust brain–computer interface (BCI) systems requires non-
complex and efficient computational tools. The modern procedures adopted for this purpose …
complex and efficient computational tools. The modern procedures adopted for this purpose …
Evaluation of three machine learning algorithms for the automatic classification of EMG patterns in gait disorders
Gait disorders are common in neurodegenerative diseases and distinguishing between
seemingly similar kinematic patterns associated with different pathological entities is a …
seemingly similar kinematic patterns associated with different pathological entities is a …
Template-based protein modeling: recent methodological advances
Protein modeling has been a very challenging problem in drug discovery and computational
biology. The latest advances and progress in computational power have helped to solve this …
biology. The latest advances and progress in computational power have helped to solve this …
FragBag, an accurate representation of protein structure, retrieves structural neighbors from the entire PDB quickly and accurately
Fast identification of protein structures that are similar to a specified query structure in the
entire Protein Data Bank (PDB) is fundamental in structure and function prediction. We …
entire Protein Data Bank (PDB) is fundamental in structure and function prediction. We …
Alternative splicing and protein structure evolution
Alternative splicing is thought to be one of the major sources for functional diversity in higher
eukaryotes. Interestingly, when map** splicing events onto protein structures, about half of …
eukaryotes. Interestingly, when map** splicing events onto protein structures, about half of …
Supervised machine learning algorithms for protein structure classification
We explore automation of protein structural classification using supervised machine learning
methods on a set of 11,360 pairs of protein domains (up to 35% sequence identity) …
methods on a set of 11,360 pairs of protein domains (up to 35% sequence identity) …