Classification of first embryonic division stages of multiple Caenorhabditis species by deep learning [0.03%]
利用深度学习法对多个杆环虫物种第一次胚胎分裂期进行分类
Dhruv Khatri,Prachi Negi,Chaitanya A Athale
Dhruv Khatri
The first embryonic division of Caenorhabditis elegans is a model for asymmetric cell division, and identifying the stages of cell division across related species could improve our understanding of the divergence of cellular events and mech...
Identifying genes underlying parallel evolution of stromal resistance to placental and cancer invasion [0.03%]
识别介导胎盘和癌细胞侵袭间质平行进化过程中的基因
Yasir Suhail,Wenqiang Du,Junaid Afzal et al.
Yasir Suhail et al.
Stromal regulation of cancer dissemination is well recognized, however causal genes remain unidentified. We previously demonstrated that epitheliochorial species have acquired stromal resistance to placental invasion, correlating with reduc...
A cell type and state specific gene regulation network inference method for immune regulatory analysis [0.03%]
一种免疫调控分析的细胞类型和状态特异性基因调控网络推理方法
Xiong Li,Kun Rao,Chuang Chen et al.
Xiong Li et al.
The gene regulatory network inference method based on bulk sequencing data not only confuses different types of cells, but also ignores the phenomenon of network dynamic changes with cell state. Single cell transcriptome sequencing technolo...
Altered dynamic functional connectivity and reduced higher order information interaction in Parkinson's patients with hyposmia [0.03%]
帕金森病伴嗅觉减退患者的动态功能连接改变和高阶信息交互降低
Sneha Ray,Navkiran Kalsi,Henning Boecker et al.
Sneha Ray et al.
Hyposmia, a common non-motor symptom in Parkinson's disease (PD) linked to reduced odor sensitivity, is associated with brain structural and functional changes, but dynamic brain activity and altered regional information exchange remain und...
Causality-aware graph neural networks for functional stratification and phenotype prediction at scale [0.03%]
一种用于大规模功能分层和表型预测的因果关系感知图神经网络
Charalampos P Triantafyllidis,Ricardo Aguas
Charalampos P Triantafyllidis
We employ a computational framework that integrates mathematical programming and Graph Neural Networks (GNNs) to elucidate functional phenotypic heterogeneity in disease by classifying entire pathways under various conditions of interest. O...
Understanding the role of toggle genes in chronic lymphocytic leukemia proliferation [0.03%]
了解转换基因在慢性淋巴细胞白血病增殖中的作用
Olga Sirbu,Gunjan Agarwal,Alessandro Giuliani et al.
Olga Sirbu et al.
Cancer cell populations, such as chronic lymphocytic leukemia (CLL), are characterized by aberrant proliferation and plasticity: cells may switch between states so increasing population heterogeneity. Previous works have shown that gene exp...
Generalized linear modeling of flow cytometry data to analyze immune responses in tuberculosis vaccine research [0.03%]
流式细胞术数据的广义线性模型分析结核疫苗研究中的免疫反应
Pablo Maldonado,Taru S Dutt,Amanda Hitpas et al.
Pablo Maldonado et al.
Tuberculosis (TB) caused by Mycobacterium tuberculosis (Mtb) kills ~1.3 million people annually. Accordingly, vaccines and sophisticated analytical tools are necessary to evaluate their effectiveness. To address these challenges, we created...
Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoires [0.03%]
基于T细胞受体组库的机器学习可用于外周血中乳腺癌的检测
Miriam Zuckerbrot-Schuldenfrei,Ari Raphael,Alona Zilberberg et al.
Miriam Zuckerbrot-Schuldenfrei et al.
The immune system's defense abilities rely on the diversity of T and B lymphocytes. T Cell Receptors (TCRs) are generated through V(D)J recombination, where distinct genetic elements combine and undergo modifications, creating extensive var...
A statistical framework for detecting therapy-induced resistance from drug screens [0.03%]
基于药物筛选的治疗诱导性抗药性的检测统计模型
Chenyu Wu,Einar Bjarki Gunnarsson,Jasmine Foo et al.
Chenyu Wu et al.
Resistance to therapy remains a significant challenge in cancer treatment, often due to the presence of a stem-like cell population that drives tumor recurrence post-treatment. Moreover, many anticancer therapies induce plasticity, converti...
A computational framework for inferring species dynamics and interactions with applications in microbiota ecology [0.03%]
一个用于推断物种动态和相互作用的计算框架及其在微生物生态学中的应用
Yuanwei Xu,Georgios V Gkoutos
Yuanwei Xu
We present MBPert, a generic computational framework for inferring species interactions and predicting dynamics in time-evolving ecosystems from perturbation and time-series data. In this work, we contextualize the framework in microbial ec...