Leveraging uncertainty quantification to optimize CRISPR guide RNA selection [0.03%]
利用不确定性量化优化CRISPR引导RNA选择
Carl Schmitz,Jacob Bradford,Robert Salomone et al.
Carl Schmitz et al.
CRISPR-based genome editing relies on guide RNA sequences to target specific regions of interest. A large number of methods have been developed to predict how efficient different guides are at inducing indels. As more experimental data beco...
Identifying escaped farmed salmon from fish scales using deep learning [0.03%]
基于深度学习的鲑鱼鳞片图像识别及其在溯河洄游中的应用研究
Malte Willmes,Anders Varmann Aamodt,Børge Solli Andreassen et al.
Malte Willmes et al.
Escaped farmed salmon are a major concern for wild Atlantic salmon (Salmo salar) stocks in Norway. Fish scale analysis is a well-established method for distinguishing farmed from wild fish, but the process is labor and time intensive. Deep ...
Optimization of the HS-GC/MS technique for urine metabolomic profiling [0.03%]
尿液代谢组学谱分析的HS-GC/MS技术优化
Natalya B Zakharzhevskaya,Dmitry A Kardonsky,Elizaveta A Vorobyeva et al.
Natalya B Zakharzhevskaya et al.
Background: Headspace gas chromatography-mass spectrometry (HS GC-MS) traditionally has been applied to analyze samples with a high content of volatile components, such as stool samples. Nevertheless, other types of sampl...
CATHe2: Enhanced CATH superfamily detection using ProstT5 and structural alphabets [0.03%]
增强的CATHe2：使用ProstT5和结构字母检测CATH超家族
Orfeú Mouret,Jad Abbass
Orfeú Mouret
The CATH database is a free publicly available online resource that provides annotations about the evolutionary and structural relationships of protein domains. Due to the flux of protein structures coming mainly from the recent breakthroug...
A novel machine learning approach for tumor detection based on telomeric signatures [0.03%]
一种基于端粒特征的新型机器学习肿瘤检测方法
Priyanshi Shah,Arun Sethuraman
Priyanshi Shah
Cancer remains one of the most complex diseases faced by humanity, with over 200 distinct types, each characterized by unique molecular profiles that demand specialized therapeutic approaches. [Tomczak et al. (Review The Cancer Genome Atlas...
Limited echocardiogram acquisition by novice clinicians aided with deep learning: A randomized controlled trial [0.03%]
新手临床医生在深度学习辅助下进行有限的心脏超声检查：一项随机对照试验
Andre Kumar,Evan Baum,Caitlin Parmer-Chow et al.
Andre Kumar et al.
The global shortage of sonographers has created significant barriers to timely ultrasound diagnostics across medical specialties. Deep learning (DL) algorithms have potential to enhance image acquisition by clinicians without formal sonogra...
Deep learning-based classification of colorectal cancer in histopathology images for category detection [0.03%]
基于深度学习的结直肠癌病理图像分类以检测癌症类型
Thang Truong Le,Vinh-Thuyen Nguyen-Truong,Quang Van Nhat Duong et al.
Thang Truong Le et al.
Accurate and timely diagnosis of colorectal cancer (CRC) is essential for effective treatment and better patient outcomes. This study explores the application of deep learning (DL) for automated CRC categories classification using hematoxyl...
In-silico identification of phytochemical compounds from various medicinal plants as potent HIV-1 non-nucleoside reverse transcriptase inhibitors utilizing molecular docking and molecular dynamics simulations [0.03%]
基于分子对接和分子动力学模拟的植物化学成分抗HIV-1非核苷类逆转录酶抑制剂的体外筛选及机制研究
Suleiman Danladi,Ayinde Abdulwahab Adeniyi,Zainab Iman Sani et al.
Suleiman Danladi et al.
HIV is a global public health challenge. The Reverse Transcriptase (RT) enzyme facilitates an important step in HIV replication. Inhibition of this enzyme provides a critical target for HIV treatment. The aim of this study is to employ comp...
NEAT and tidy: a novel RT-PCR method for the independent quantification of the NEAT1_1 isoform [0.03%]
简洁而整洁：一种独立测定NEAT1 _ 1亚型的新型RT-qPCR方法
Nadine E Smith,Janni Petersen,Michael Z Michael
Nadine E Smith
The long noncoding RNA NEAT1 is transcribed from a single exon gene and produces two isoforms through alternative 3'-end processing. The short polyadenylated NEAT1_1 drives proliferation in many malignancies through increasing glycolytic fl...
ThermoPlex: an automated design tool for target-specific multiplex PCR primers based on DNA thermodynamics [0.03%]
基于DNA热力学的靶标特异性多重PCR引物自动化设计工具ThermoPlex
Altair Agmata,Kevin Labrador,Joseph Dominic Palermo et al.
Altair Agmata et al.
Multiplex PCR-based assays are indispensable platforms for rapid and cost-effective DNA-based multi-target detection. The success of such an assay highly depends on the accurate design of oligonucleotide primers, arguably its most vital com...