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Publication search results
found 26 matches
- 2024
- Likun Jiang, Susu Qu, Zhengqiu Yu, Jianmin Wang, Xiangrong Liu:
MOASL: Predicting drug mechanism of actions through similarity learning with transcriptomic signature. Comput. Biol. Medicine 169: 107853 (2024) - Kening Zhao, Esmaeil Ebrahimie, Manijeh Mohammadi Dehcheshmeh, Mathew G. Lewsey, Lei Zheng, Nick J. Hoogenraad:
Transcriptomic signature of cancer cachexia by integration of machine learning, literature mining and meta-analysis. Comput. Biol. Medicine 172: 108233 (2024) - Xiaofen Ma, Junle Li, Yuping Yang, Xiaofan Qiu, Jintao Sheng, Ningke Han, Changwen Wu, Guang Xu, Guihua Jiang, Junzhang Tian, Xuchu Weng, Jinhui Wang:
Enhanced cerebral blood flow similarity of the somatomotor network in chronic insomnia: Transcriptomic decoding, gut microbial signatures and phenotypic roles. NeuroImage 297: 120762 (2024) - 2023
- Sofia Martins, Roberta Coletti, Marta B. Lopes:
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods. BioData Min. 16(1) (2023) - Xu Chen, Chuang Peng, Yu Chen, Bai Ding, Sulai Liu, Yinghui Song, Yuhang Li, Bo Sun, Ranzhiqiang Yang:
A T-cell-related signature for prognostic stratification and immunotherapy response in hepatocellular carcinoma based on transcriptomics and single-cell sequencing. BMC Bioinform. 24(1): 216 (2023) - Maryam Zanjirband, Maryam Baharlooie, Z. Safaeinejad, Mohammad-Hossein Nasr-Esfahani:
Transcriptomic screening to identify hub genes and drug signatures for PCOS based on RNA-Seq data in granulosa cells. Comput. Biol. Medicine 154: 106601 (2023) - 2022
- Abhishek Vijayan, Shadma Fatima, Arcot Sowmya, Fatemeh Vafaee:
Blood-based transcriptomic signature panel identification for cancer diagnosis: benchmarking of feature extraction methods. Briefings Bioinform. 23(5) (2022) - Galina Boldina, Paul Fogel, Corinne Rocher, Charles Bettembourg, George Luta, Franck Augé:
A2Sign: Agnostic Algorithms for Signatures - a universal method for identifying molecular signatures from transcriptomic datasets prior to cell-type deconvolution. Bioinform. 38(4): 1015-1021 (2022) - Ming-Lang Shih, Jih-Chin Lee, Sheng-Yao Cheng, Bashir Lawal, Ching-Liang Ho, Cheng-Chia Wu, David T. W. Tzeng, Jia-Hong Chen, Alexander T. H. Wu:
Transcriptomic discovery of a theranostic signature (SERPINE1/MMP3/COL1A1/SPP1) for head and neck squamous cell carcinomas and identification of antrocinol as a candidate drug. Comput. Biol. Medicine 150: 106185 (2022) - Hua Tang, Qin Yang, Qiang Tang, Xianhai Li, Weijun Ding, Wei Chen:
Integrated transcriptomics unravels implications of glycosylation-regulating signature in diagnosis, prognosis and therapeutic benefits of hepatocellular carcinoma. Comput. Biol. Medicine 148: 105886 (2022) - Daniel Domingo-Fernández, Yojana Gadiya, Abhishek Patel, Sarah Mubeen, Daniel Rivas-Barragan, Chris W. Diana, Biswapriya B. Misra, David Healey, John C. Rokicki, Viswa Teja S. S. Colluru:
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery. PLoS Comput. Biol. 18(2) (2022) - 2021
- Nathalie Lehmann:
Development of bioinformatics tools for single-cell transcriptomics applied to the search for signatures of symmetric versus asymmetric division mode in neural progenitors. (Développement d'outils bioinformatiques pour la transcriptomique en cellule unique appliquée à la recherche de signatures de modes de division symétrique versus asymétrique de progéniteurs neuronaux). PSL University, Paris, France, 2021 - Nuojin Cheng, Ashley J. Schulte, Fadil Santosa, Jong Hyuk Kim:
Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma. Briefings Bioinform. 22(4) (2021) - Gwanghoon Jang, Sungjoon Park, Sanghoon Lee, Sunkyu Kim, Se-Jeong Park, Jaewoo Kang:
Predicting mechanism of action of novel compounds using compound structure and transcriptomic signature coembedding. Bioinform. 37(Supplement): 376-382 (2021) - Dimitris V. Manatakis, Aaron Vandevender, Elias S. Manolakos:
An information-theoretic approach for measuring the distance of organ tissue samples using their transcriptomic signatures. Bioinform. 36(21): 5194-5204 (2021) - Dimitris V. Manatakis, Aaron Vandevender, Elias S. Manolakos:
Erratum to: An information-theoretic approach for measuring the distance of organ tissue samples using their transcriptomic signatures. Bioinform. 37(14): 2512 (2021) - Mengyu Xie, Kyubum Lee, John H. Lockhart, Scott D. Cukras, Rodrigo Carvajal, Amer A. Beg, Elsa R. Flores, Mingxiang Teng, Christine H. Chung, Aik Choon Tan:
TIMEx: tumor-immune microenvironment deconvolution web-portal for bulk transcriptomics using pan-cancer scRNA-seq signatures. Bioinform. 37(20): 3681-3683 (2021) - 2020
- Claire Nicolas de Lamballerie:
Analyse et exploitation de signatures transcriptomiques de patients infectés par des virus respiratoires en vue du repositionnement de médicaments pour de nouvelles indications thérapeutiques antivirales. (Analysis and exploitation of transcriptomic signatures of patients infected with respiratory viruses for repositioning drugs for new antiviral therapeutic indications). University of Lyon, France, 2020 - Qingxia Yang, Bo Li, Jing Tang, Xuejiao Cui, Yunxia Wang, Xiaofeng Li, Jie Hu, Yuzong Chen, Weiwei Xue, Yan Lou, Yunqing Qiu, Feng Zhu:
Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data. Briefings Bioinform. 21(3): 1058-1068 (2020) - Bin Liu, Patrick Lindner, Adan Chari Jirmo, Ulrich Maus, Thomas Illig, David S. DeLuca:
A comparison of curated gene sets versus transcriptomics-derived gene signatures for detecting pathway activation in immune cells. BMC Bioinform. 21(1): 28 (2020) - Talip Zengin, Tugba Önal Süzek:
Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma. BMC Bioinform. 21-S(14): 368 (2020) - 2019
- Zichen Wang, Edward He, Kevin Sani, Kathleen M. Jagodnik, Moshe C. Silverstein, Avi Ma'ayan:
Drug Gene Budger (DGB): an application for ranking drugs to modulate a specific gene based on transcriptomic signatures. Bioinform. 35(7): 1247-1248 (2019) - Qinghua Cui, Tingting Sun, Zongyao Nie:
Combining network topology with transcriptomic data for identifying radiosensitive gene signatures. J. Comput. Methods Sci. Eng. 19(3): 565-579 (2019) - 2018
- Zichen Wang, Alexander Lachmann, Alexandra B. Keenan, Avi Ma'ayan:
L1000FWD: fireworks visualization of drug-induced transcriptomic signatures. Bioinform. 34(12): 2150-2152 (2018) - Mengyuan Kan, Maya Shumyatcher, Avantika Diwadkar, Gabriel Soliman, Blanca E. Himes:
Integration of Transcriptomic Data Identifies Global and Cell-Specific Asthma-Related Gene Expression Signatures. AMIA 2018 - 2014
- Chang Sik Kim, Qing Wen, Shu-Dong Zhang:
Integrative analysis of chemo-transcriptomic profiles for drug-feature specific gene expression signatures. BIBM 2014: 113-118
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