Stay updated with the latest research and technology news
arXiv:2602.01230v1 Announce Type: new Abstract: Deciphering how DNA sequence encodes gene regulation remains a central challenge in biology. Advances in machine learning and functional genomics...
arXiv:2602.01347v1 Announce Type: new Abstract: Millions of users turn to consumer AI chatbots to discuss behavioral and mental health concerns. While this presents unprecedented opportunities...
arXiv:2602.01482v1 Announce Type: new Abstract: Cortical folding exhibits substantial inter-individual variability while preserving stable anatomical landmarks that enable fine-scale characterization of cortical organization. Among these,...
arXiv:2602.01492v1 Announce Type: new Abstract: In two-strategy decision-making problems, individuals often imitate the highest earners or choose either the common or rare strategy. Individuals who...
arXiv:2602.01496v1 Announce Type: new Abstract: The NBSS (normalized biomass size spectrum) is a common, intuitive approach for the study of natural ecosystems. However, very few...
arXiv:2602.02374v1 Announce Type: new Abstract: Both natural and synthetic chemical systems not only exhibit a range of non-trivial dynamics, but also transition between qualitatively different...
arXiv:2602.00156v1 Announce Type: cross Abstract: Genome sequencing is essential to decode genetic information, identify organisms, understand diseases and advance personalized medicine. A critical step in...
arXiv:2602.00259v1 Announce Type: cross Abstract: Artificial intelligence (AI)-based decision support systems can be highly accurate yet still fail to support users or improve decisions. Existing...
arXiv:2602.00663v1 Announce Type: cross Abstract: Optimizing the structure of molecules to achieve desired properties is a central bottleneck across the chemical sciences, particularly in the...
arXiv:2602.00832v1 Announce Type: cross Abstract: Natural selection for terrestrial locomotion has yielded unifying patterns in the body shape of legged animals, often manifesting as scaling...
arXiv:2602.00978v1 Announce Type: cross Abstract: Evolutionary success depends on the capacity to adapt: organisms must respond to environmental challenges through both genetic innovation and lifetime...
arXiv:2602.01604v1 Announce Type: cross Abstract: Cellular metabolism is globally regulated by various currency metabolites such as ATP, GTP, and NAD(P)H. These metabolites cycle between charged...
arXiv:2602.01751v1 Announce Type: cross Abstract: Predicting drug-drug interactions (DDIs) is essential for safe pharmacological treatments. Previous graph neural network (GNN) models leverage molecular structures and...
arXiv:2602.01772v1 Announce Type: cross Abstract: Data-independent acquisition mass spectrometry (DIA-MS) has established itself as a cornerstone of proteomic profiling and large-scale systems biology, offering unparalleled...
arXiv:2602.01839v1 Announce Type: cross Abstract: Recently, data-centric AI methodology has been a dominant paradigm in single-cell transcriptomics analysis, which treats data representation rather than model...
arXiv:2602.01845v1 Announce Type: cross Abstract: Protein language models (PLMs) face a fundamental divide: masked language models (MLMs) excel at fitness prediction while causal models enable...
arXiv:2602.02128v1 Announce Type: cross Abstract: Molecular dynamics (MD) simulations remain the gold standard for studying protein dynamics, but their computational cost limits access to biologically...
arXiv:2602.02320v1 Announce Type: cross Abstract: Molecular function is largely determined by structure. Accurately aligning molecular structure with natural language is therefore essential for enabling large...
arXiv:2602.02425v1 Announce Type: cross Abstract: Protein fitness optimization is challenged by a vast combinatorial landscape where high-fitness variants are extremely sparse. Many current methods either...
arXiv:2602.02494v1 Announce Type: cross Abstract: Clinical brain-to-text interfaces are designed for paralysed patients who cannot provide extensive training recordings. Pre-training improves data-efficient generalisation by learning...
arXiv:2409.13669v2 Announce Type: replace Abstract: Spatiotemporal flows of neural activity, such as traveling waves, have been observed throughout the brain since the earliest recordings; yet...
arXiv:2502.06914v3 Announce Type: replace Abstract: Enzyme-catalyzed protein cleavage is essential for many biological functions. Accurate prediction of cleavage sites can facilitate various applications such as...
arXiv:2503.00008v2 Announce Type: replace Abstract: Zero-one reaction networks are pivotal to cellular signaling, and establishing the equivalence of such networks represents a foundational computational challenge...
arXiv:2506.04056v2 Announce Type: replace Abstract: The generalized Lotka-Volterra (GLV) equations with quenched random interactions have been extensively used to investigate the stability and dynamics of...