6 papers · ranked by Valyu relevance
Wang, Chengu
We establish new depth upper bounds for sorting networks on 27 and 28 channels, improving the previous best bound of 14 to 13. Our 28-channel network is constructed with reflectional symmetry by combining high-quality prefixes of 16- and 12-channel networks, extending them greedily one comparator at a time, and using a…
Liam Mclaughlin, Mia Curic, Siddhartha Sharma, Jorge Villazon + 8 more
Recent advances in high-resolution imaging and spatial transcriptomics have enabled reconstruction of complex 3D tissue maps, providing unprecedented insights into cellular connectivity, organization, and tissue architecture. However, standardization challenges hinder integration, sharing, and analysis of these…
Malene Overby, Lasse Messell Desdorf, Lisbeth Kjølbye, Tommy Rosendahl + 4 more
Sortilin is a single-pass transmembrane receptor involved in intracellular trafficking, neurotrophic signaling, and protein clearance pathways relevant to neurodegenerative disease. We recently identified the neuron-specific protein NSG1 as a selective modulator of sortilin function, promoting its ectodomain shedding…
Jachen A. Solinger, Curdin A. Franziscus, Trian Nuredini, Dominic L. Müller + 3 more
Endosomal pathways are central to cellular organization, compartmentalization, and intercellular communication. Independent of the endocytic entry route, sorting endosomes function as critical junctions at which membrane proteins are sorted for recycling or degradation. The multicomponent tether FERARI orchestrates…
Yeji Lee, Soyeong Kim, Yuna Park, Eunah Jeong + 6 more
Understanding the complex nature of multifunctional interactions among genes is crucial for interpreting omics data. We developed NetCrafter, an ontology-driven platform for constructing de novo gene networks that are specific to each input gene list and quantitatively defined by ontology-weighted similarity. By…
Omri Nahor, Nitzan Migdal, Ayelet Gibli, Tohar Tsvitman + 6 more
ProteinNetworkSight ([https://proteinnetworksight.jce.ac]()) addresses a pervasive bottleneck in modern systems biology: the inability to simultaneously analyze multiple feature vectors generated by quantitative techniques-such as machine learning, deep learning, or statistical modeling-that provide series of patterns…