日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Herbal Therapeutics for Alzheimer's Disease: Ancient Indian Medicine System from the Modern Viewpoint

草药疗法治疗阿尔茨海默病：从现代视角看古印度医学体系

期刊:Current Neuropharmacology
影响因子:5.3
doi:10.2174/1570159X21666230216094353
Kushwah, Shikha; Maurya, Neha Shree; Kushwaha, Sandeep; Scotti, Luciana; Chawade, Aakash; Mani, Ashutosh
阿尔茨海默症
发表日期：2023
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Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta

利用基于特征选择技术的机器学习模型构建结直肠腺癌分类的预后模型（Boruta）

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-023-33327-4
Maurya, Neha Shree; Kushwah, Shikha; Kushwaha, Sandeep; Chawade, Aakash; Mani, Ashutosh
肿瘤
肿瘤免疫
发表日期：2023
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Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms

利用机器学习算法对RNA-Seq数据进行综合分析，揭示CA2、CA7和ITM2C基因特征在结直肠癌早期检测中的潜力

期刊:Genes
影响因子:2.8
doi:10.3390/genes14101836
Maurya, Neha Shree; Kushwaha, Sandeep; Vetukuri, Ramesh Raju; Mani, Ashutosh
肠癌
肿瘤
肿瘤免疫
发表日期：2023
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Identification of Potential Antimalarial Drug Candidates Targeting Falcipain-2 Protein of Malaria Parasite-A Computational Strategy

利用计算策略鉴定靶向疟原虫Falcipain-2蛋白的潜在抗疟药物候选物

期刊:
影响因子:
doi:10.3390/biotech11040054
Nema, Shrikant; Verma, Kanika; Mani, Ashutosh; Maurya, Neha Shree; Tiwari, Archana; Bharti, Praveen Kumar
发表日期：2022
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Transcriptome profiling by combined machine learning and statistical R analysis identifies TMEM236 as a potential novel diagnostic biomarker for colorectal cancer

结合机器学习和统计R分析的转录组分析表明，TMEM236是一种潜在的新型结直肠癌诊断生物标志物。

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-021-92692-0
Maurya, Neha Shree; Kushwaha, Sandeep; Chawade, Aakash; Mani, Ashutosh
肠癌
肿瘤
肿瘤免疫
发表日期：2021
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