Search
Search Results
-
Deep metagenomic sequencing unveils novel SAR202 lineages and their vertical adaptation in the ocean
SAR202 bacteria in the Chloroflexota phylum are abundant and widely distributed in the ocean. Their genome coding capacities indicate their potential...
-
Understanding the role of eye movement consistency in face recognition and autism through integrating deep neural networks and hidden Markov models
Greater eyes-focused eye movement pattern during face recognition is associated with better performance in adults but not in children. We test the...
-
Deep Neural Networks
The focus of this chapter is on deep neural networks, a special machine learning method in the field of artificial intelligence. These novel methods...
-
RNA contact prediction by data efficient deep learning
On the path to full understanding of the structure-function relationship or even design of RNA, structure prediction would offer an intriguing...
-
Deep-Sea Life
The conditions at which life below 200 m in the water column and the deep seafloor in Mexico’s Exclusive Economic Zone in three regional seas...
-
Building trust in deep learning-based immune response predictors with interpretable explanations
The ability to predict whether a peptide will get presented on Major Histocompatibility Complex (MHC) class I molecules has profound implications in...
-
The Deep Sea
The deep ocean makes up the single, biggest portion of the earth’s biosphere. Of all the habitable space available for living things to occupy, at...
-
Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging
Understanding the genetic architecture of brain structure is challenging, partly due to difficulties in designing robust, non-biased descriptors of...
-
Deep learning-based fishing ground prediction with multiple environmental factors
Improving the accuracy of fishing ground prediction for oceanic economic species has always been one of the most concerning issues in fisheries...
-
Colonial history and global economics distort our understanding of deep-time biodiversity
Sampling biases in the fossil record distort estimates of past biodiversity. However, these biases not only reflect the geological and spatial...
-
Deep proteomic analysis of obstetric antiphospholipid syndrome by DIA-MS of extracellular vesicle enriched fractions
Proteins in the plasma/serum mirror an individual’s physiology. Circulating extracellular vesicles (EVs) proteins constitute a large portion of the...
-
High-throughput deep learning variant effect prediction with Sequence UNET
Understanding coding mutations is important for many applications in biology and medicine but the vast mutation space makes comprehensive...
-
Deep sampling of gRNA in the human genome and deep-learning-informed prediction of gRNA activities
Life science studies involving clustered regularly interspaced short palindromic repeat (CRISPR) editing generally apply the best-performing guide...
-
A review of current knowledge on reproductive and larval processes of deep-sea corals
The presence of corals living in deep waters around the globe has been documented in various publications since the late 1800s, when the first...
-
Design and validation of a deep evolutionary time visual instrument (DET-Vis)
Understanding deep evolutionary time is crucial for biology education and for conceptualizing evolutionary history. Although such knowledge might...
-
Deep learning algorithms applied to computational chemistry
Recently, there has been a significant increase in the use of deep learning techniques in the molecular sciences, which have shown high performance...
-
Deep learning for automatic facial detection and recognition in Japanese macaques: illuminating social networks
Individual identification plays a pivotal role in ecology and ethology, notably as a tool for complex social structures understanding. However,...
-
Ecogenomics reveals viral communities across the Challenger Deep oceanic trench
Despite the environmental challenges and nutrient scarcity, the geographically isolated Challenger Deep in Mariana trench, is considered a dynamic...
-
Integration of pre-trained protein language models into geometric deep learning networks
Geometric deep learning has recently achieved great success in non-Euclidean domains, and learning on 3D structures of large biomolecules is emerging...
-
GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization
Non-coding RNAs (ncRNAs) draw much attention from studies widely in recent years because they play vital roles in life activities. As a good...
