Integrated single-cell and bulk RNA dequencing to identify and validate prognostic genes related to T Cell senescence in acute myeloid leukemia [0.03%]
整合单细胞和批量RNA测序以识别和验证与急性髓系白血病T细胞衰老相关的预后基因
Mengyao Sha,Jun Chen,Haifeng Hou et al.
Mengyao Sha et al.
Background: T-cell suppression in patients with Acute myeloid leukemia (AML) limits tumor cell clearance. This study aimed to explore the role of T-cell senescence-related genes in AML progression using single-cell RNA se...
João C Setubal,Alberto Paccanaro
João C Setubal
ICARus: a pipeline to extract robust gene expression signatures from transcriptome datasets [0.03%]
ICARus：一个提取稳健基因表达特征的管道用于转录组数据集
Zhaorong Li,Juan I Fuxman Bass
Zhaorong Li
Gene signature extraction from transcriptomics datasets has been instrumental to identify sets of co-regulated genes, identify associations with prognosis, and for biomarker discovery. Independent component analysis (ICA) is a powerful tool...
Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization [0.03%]
时空基因地形：通过动态基因表达可视化推进精准医疗
Ehsan Saghapour,Rahul Sharma,Delower Hossain et al.
Ehsan Saghapour et al.
Introduction: Understanding the temporal dynamics of gene expression is vital for interpreting biological responses, especially in drug treatment studies. Conventional visualization techniques, such as heatmaps and static...
Enhancing genomic prediction in Arabidopsis thaliana with optimized SNP subset by leveraging gene ontology priors and bin-based combinatorial optimization [0.03%]
利用基因本体优先项和基于箱的组合优化选择最佳SNP子集以提高拟南芥基因预测能力
Qingfang Ba,Heng Zhou,Zheming Yuan et al.
Qingfang Ba et al.
With the rapid development of high-density molecular marker chips and high-throughput sequencing technologies, genomic selection/prediction (GS/GP) has been widely applied in plant breeding. Arabidopsis thaliana, as a common model organism,...
Utility of regional STR marker variations in Tunisian and sub-Saharan populations: insights into forensic and population genetics [0.03%]
突尼斯人和撒哈拉以南非洲人群体中区域STR标记变异的应用：法医及群体遗传学的启示
Asma Attaoui,Hajer Foddha,Houcemeddine Othman et al.
Asma Attaoui et al.
Introduction: This study investigates the genetic variability and forensic applicability of Short Tandem Repeat (STR) loci including autosomal, X and Y-STR markers, across distinct Tunisian regions and among sub-Saharan A...
Optimization of clustering parameters for single-cell RNA analysis using intrinsic goodness metrics [0.03%]
基于内在优良度指标的单细胞RNA数据聚类参数优化方法研究
Nicolina Sciaraffa,Antonino Gagliano,Luigi Augugliaro et al.
Nicolina Sciaraffa et al.
Introduction: The accurate clustering of cell subpopulations is a crucial aspect of single-cell RNA sequencing. The ability to correctly subdivide cell subpopulations hinges on the efficacy of unsupervised clustering. Des...
TICTAC: target illumination clinical trial analytics with cheminformatics [0.03%]
基于化学信息学的临床试验数据分析(TICTAC)
Jeremiah I Abok,Jeremy S Edwards,Jeremy J Yang
Jeremiah I Abok
Introduction: Identifying disease-target associations is a pivotal step in drug discovery, offering insights that guide the development and optimization of therapeutic interventions. Clinical trial data serves as a valuab...
DeepPredict: a state-of-the-art web server for protein secondary structure and relative solvent accessibility prediction [0.03%]
DeepPredict：一个用于蛋白质二级结构和相对溶剂可及性预测的网络服务器
Wafa Alanazi,Di Meng,Gianluca Pollastri
Wafa Alanazi
DeepPredict is a freely accessible web server that integrates Porter6 and PaleAle6, two state-of-the-art deep learning models designed for protein secondary structure prediction (PSSP) and relative solvent accessibility (RSA) prediction, re...
Interactive visualization of large molecular systems with VTX: example with a minimal whole-cell model [0.03%]
VTX的大分子系统交互式可视化及其在细胞模型中的应用
Maxime Maria,Valentin Guillaume,Simon Guionnière et al.
Maxime Maria et al.
VTX is an open-source molecular visualization software designed to overcome the scaling limitations of existing real-time molecular visualization software when handling massive molecular datasets. VTX employs a meshless molecular graphics e...