Transcriptional Regulatory Networks across Species : Evolution, Inference, and Refinement

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Graph neural networks (GNNs) have demonstrated promising performance across various chemistry-related tasks. However, conventional graphs only model the pairwise connectivity in molecules, failing to adequately represent higher order connections, such as m ...

Sign Language conveys information through multiple channels composed of manual (handshape, hand movement) and non-manual (facial expression, mouthing, body posture) components. Sign language assessment involves giving granular feedback to a learner, in ter ...

The Mycobacterium tuberculosis complex (MTBC) comprises nine human-adapted lineages that differ in their geographical distribution. Local adaptation of specific MTBC genotypes to the respective human host population has been invoked in this context. We aim ...

Differences in acquisition protocols or hardware result in measurable changes in image characteristics. These differences affect distributional properties and can also affect the spatial and temporal characteristics of the images. Likewise, the distributio ...

Facial paralysis is a highly burdening condition, resulting in a patient's inability to move his musculature on one or both sides of the mouth. The restoration of facial movement is crucial for enhancing the overall patients' quality of life. The use of DE ...

Water distribution systems (WDSs) are complex networks with numerous interconnected junctions and pipes. The robustness and reliability of these systems are critically dependent on their network structure, necessitating detailed analysis for proactive leak ...

High-dimensional data must be highly structured to be learnable. Although the compositional and hierarchical nature of data is often put forward to explain learnability, quantitative measurements establishing these properties are scarce. Likewise, accessin ...

Growing evidence indicates that transposable elements (TEs) play important roles in evolution by providing genomes with coding and non-coding sequences. Identification of TE-derived functional elements, however, has relied on TE annotations in individual s ...

Mutations to gene regulatory networks can be maladaptive or a source of evolutionary novelty. Epistasis con-founds our understanding of how mutations affect the expression patterns of gene regulatory networks, a chal-lenge exacerbated by the dependence of ...

Predicting human trajectories is essential for the safe operation of autonomous vehicles, yet current data-driven models often lack robustness in case of noisy inputs such as adversarial examples or imperfect observations. Although some trajectory predicti ...

Neurons in the human amygdala and hippocampus are classically thought to encode a person’s identity invariant to visual features. However, it remains largely unknown how visual information from higher visual cortical areas is translated into such a semanti ...

Local and global inference methods have been developed to infer structural contacts from multiple sequence alignments of homologous proteins. They rely on correlations in amino acid usage at contacting sites. Because homologous proteins share a common ance ...

Background: Transposable elements (TEs) have colonized the genomes of most metazoans, and many TE-embedded sequences function as cis-regulatory elements (CREs) for genes involved in a wide range of biological processes from early embryo- genesis to innate ...

Real-time bioaerosol monitoring is improving the quality of life for people affected by allergies, but it often relies on deep learning models which pose challenges for widespread adoption. These models are typically trained in a supervised fashion and req ...

In particular, this sequence is found in the 39 members of the amniote Hox gene family, a series of genes activated in mid-gastrulation and involved in organizing morphologies along the extending anterior to posterior (AP) body axis. Over the past 30 years ...

Modern machine learning (ML) models are capable of impressive performances. However, their prowess is not due only to the improvements in their architecture and training algorithms but also to a drastic increase in computational power used to train them.|S ...

The jet axis decorrelation in inclusive jets is studied using lead-lead (PbPb) collisions at a center-of-mass energy per nucleon pair of 5.02 TeV. The jet axis decorrelation is defined as the angular difference between two definitions of the jet axis. It i ...

Regulation of gene expression is a complex but highly guided process. While genomic technologies and computational approaches have allowed high-throughput mapping of cis-regulatory elements (CREs) and their interactions in 3D, their precise role in regulat ...

Finding cycles in directed graphs enables important applications in various domains such as finance, biology, chemistry, and network science. However, as the size of graph datasets continues to grow, it becomes increasingly difficult to discover cycles wit ...

The Internet of Things (IoT) consists of physical objects and devices embedded with network connectivity, software, and sensors to collect and transmit data. The development of the Internet of Things (IoT) has led to various security and privacy issues, in ...

Transcriptional Regulatory Networks across Species : Evolution, Inference, and Refinement

Chattez avec Graph Search

Molecular hypergraph neural networks

Posterior-Based Analysis of Spatio-Temporal Features for Sign Language Assessment

Bacterial diversity dominates variable macrophage responses of tuberculosis patients in Tanzania

Domain shift, domain adaptation, and generalization: A focus on MRI

DEMO: Dielectric elastomer actuators (DEAs) for the restoration of facial movements

Towards an Understanding of Hydraulic Sensitivity: Graph Theory Contributions to Water Distribution Analysis

Probing the latent hierarchical structure of data via diffusion models

Ancestral genome reconstruction enhances transposable element annotation by identifying degenerate integrants

Environment-dependent epistasis increases phenotypic diversity in gene regulatory networks

Certified Human Trajectory Prediction

Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus

Impact of phylogeny on structural contact inference from protein sequence data

Statistical learning quantifies transposable element-mediated cis-regulation

Self-supervised and few-shot learning for robust bioaerosol monitoring

Comments on the Hox timer and related issues

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

Search for medium effects using jet axis decorrelation in inclusive jets from PbPb collisions at = 5.02 TeV

Chromatin modules and their implication in genomic organization and gene regulation

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence