Persistence diagrams as morphological signatures of cells: A method to measure and compare cells within a population [0.03%]
.Persistence图作为细胞的形态符号：一种测量和比较种群内细胞的方法
Yossi Bokor Bleile,Pooja Yadav,Patrice Koehl et al.
Yossi Bokor Bleile et al.
Quantifying cell morphology is central to understanding cellular regulation, fate, and heterogeneity, yet conventional image-based analyses often struggle with diverse or irregular shapes. We present a computational framework that uses topo...
Learning cardiac activation and repolarization times with operator learning [0.03%]
基于算子学习的心脏除极和复极时间研究
Giovanni Ziarelli,Edoardo Centofanti,Nicola Parolini et al.
Giovanni Ziarelli et al.
Solving partial or ordinary differential equation models in cardiac electrophysiology is a computationally demanding task, particularly when high-resolution meshes are required to capture the complex dynamics of the heart. Moreover, in clin...
Dharmik R Rathod,Justin D Silverman
Dharmik R Rathod
Polymerase Chain Reaction (PCR) is a critical step in amplicon-based microbial community profiling, allowing the selective amplification of marker genes such as 16S rRNA from environmental or host-associated samples. Despite its widespread ...
Hierarchical analysis of RNA secondary structures with pseudoknots based on sections [0.03%]
基于区段的含假结RNA二级结构层次分析方法
Ryota Masuki,Donn Liew,Ee Hou Yong
Ryota Masuki
Predicting RNA structures containing pseudoknots remains computationally challenging due to high processing costs and complexity. While standard methods for pseudoknot prediction require O(N6) time complexity, we present a hierarchical appr...
Adelisa Avezzú,Stefano Longobardi,Anita Alvarez-Laviada et al.
Adelisa Avezzú et al.
Fetal cardiac arrhythmias can lead to stillbirth, but direct studies on the human fetal heart are challenging. To address this, we developed a computational model of human fetal ventricular myocyte (hfVM) electrophysiology, focusing on earl...
Abundant positively-charged proteins underlie JCVI-Syn3A's expanded nucleoid and ribosome distribution [0.03%]
丰富的正电荷蛋白决定了JCVI-Syn3A扩增的核体和核糖体分布
Gesse Roure,Vishal S Sivasankar,Roseanna N Zia
Gesse Roure
Nucleoid compaction in bacteria is commonly attributed to cytoplasmic crowding, DNA supercoiling, and nucleoid-associated proteins (NAPs). In most bacterial species, including E. coli, these effects condense the chromosome into a subcellula...
Manu Aggarwal,Vipul Periwal
Manu Aggarwal
Protease inhibitors (PIs) target the protease (PR) enzyme to suppress viral replication. Their efficacy in human immunodeficiency virus treatment is compromised by the emergence of drug-resistant strains. Therefore, forecasting drug-resista...
Deep learning models to map osteocyte networks from confocal microscopy can successfully distinguish between young and aged bone [0.03%]
基于共聚焦显微镜的深层学习模型可以成功区分年轻和老化骨骼中的骨细胞网络
Simon D Vetter,Charles A Schurman,Tamara Alliston et al.
Simon D Vetter et al.
Osteocytes, the most abundant and mechanosensitive cells in bone tissue, play a pivotal role in bone homeostasis and mechano-responsiveness, orchestrating the delicate balance between bone formation and resorption under daily activity. Stud...
PlasticEnz: An integrated database and screening tool combining homology and machine learning to identify plastic-degrading enzymes in meta-omics datasets [0.03%]
PlasticEnz：一个结合同源性和机器学习的数据库和筛选工具，用于在元组学数据集中识别降解塑料的酶
Anna Krzynowek,Jasper Snoeks,Karoline Faust
Anna Krzynowek
PlasticEnz is a new open-source tool for detecting plastic-degrading enzymes (plastizymes) in metagenomic data by combining sequence homology-based search with machine learning techniques. It integrates custom Hidden Markov Models, DIAMOND ...
Daniel Shani,Peter Dayan
Daniel Shani
Egocentric representations of the environment have historically been relegated to being used only for simple forms of spatial behaviour such as stimulus-response learning. However, in the many cases that critical aspects of policies are bes...