Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: Boltzmann machines are energy-based models that have been shown to provide an accurate s...
Vaccination to prevent infectious disease is one of the most successful public health interventions ...
Tendinopathy is a complex multifaceted tendinopathy often associated with overuse and with its high ...
The genetic analysis of complex traits has been dominated by parametric statistical methods due to t...
Recent studies reported that N7-methylguanosine (m7G) plays a vital role in gene expression regulati...
Charting an organs' biological atlas requires us to spatially resolve the entire single-cell transcr...
A fit-for-purpose structural and statistical model is the first major requirement in population phar...
We present SquiggleNet, the first deep-learning model that can classify nanopore reads directly from...
Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage ...
Deep learning has proven advantageous in solving cancer diagnostic or classification problems. Howev...
Diffuse gliomas are the most common malignant primary brain tumors. Identification of isocitrate deh...
BACKGROUND: Genetic information is becoming more readily available and is increasingly being used to...
BACKGROUND: Several computational tools for predicting protein Ubiquitylation and SUMOylation sites ...
Diabatization of one-electron states in flexible molecular aggregates is a great challenge due to th...
BACKGROUND: Paralogs formed through gene duplication and isoforms formed through alternative splicin...
High-throughput technologies such as next-generation sequencing allow biologists to observe cell fun...
Michaelis constants (Km) are essential to predict the catalytic rate of enzymes, but are not widely ...
BACKGROUND: Determining the status of molecular pathways and key mutations in colorectal cancer is c...
Humans are widely exposed to a great variety of mycotoxins and their mixtures. Therefore, it is impo...
The Michaelis constant KM describes the affinity of an enzyme for a specific substrate and is a cent...
The microRNA-122 (miR-122) is a liver-specific microRNA that can be used as a potential molecular m...