Sökresultat - "MT: Bioinformatics"

CLCluster: A redundancy-reduction contrastive learning-based clustering method of cancer subtype based on multi-omics data

Hong Wang, Yi Zhang, Wen Li, Zhen Wei, Zhenlong Wang, Mengyuan Yang

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IsomiR stoichiometry changes as disease biomarkers

Alexandra L. McAllan, Katherine A. Pillman, Linden J. Gearing, Michael P. Gantier

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DRPM: An advanced predictive model for early diabetes detection and risk stratification

Fulei Nie, Xiaoming Song, Wei Chen

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Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma

Di He, Zhan Yang, Tian Zhang, Yaxian Luo, Lianjie Peng, Jiatao Yan, Tao Qiu, Jingyu Zhang, Luying Qin, Zhichao Liu, Mouyuan Sun

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Pan-cancer characterization of m6A-mediated regulation of T cell exhaustion dynamics and clinical relevancies in human cancers

Weiping Ji, Ye Fang, Liwei Chen, Yitong Zheng, Yifei Pei, Changqiu Mei, Meng Zhou

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lncRNA localization and feature interpretability analysis

Jing Li, Ying Ju, Quan Zou, Fengming Ni

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Gal-3 activates Tyro3 to ameliorate ferroptosis of hippocampal neurons after traumatic brain injury

Xiao Zhang, Manrui Li, Yang Xu, Jingting Wu, Ruixuan Yuan, Yihan Sun, Xiaogang Chen, Meili Lv, Bo Jin, Xiameng Chen, Weibo Liang

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Splicing to orchestrate cell fate

Xurui Zhang, Zhonghao Guo, Yachen Li, Yungang Xu

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Multi-omic insights into molecular mechanism and therapeutic targets in spinocerebellar ataxia type 7

Soo Hyun Ahn, Yoonhyuk Jang, Bum-Sup Jang, Jangsup Moon, Woo-Jin Lee, Dong-Kyu Park, Jung-Suk Yu, Hyoshin Son, Hyeyoon Kim, Dohyun Han, Heeyoung Seok, Yongmoo Kim, Seo-Yi Shin, Soon-Tae Lee, Kyung-Il Park, Keun-Hwa Jung, Daejong Jeon, Sang Kun Lee, Kon Chu

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Computational approaches for identifying neuropeptides: A comprehensive review

Rahmani, Roya ^{1, 2}, Kalankesh, Leila R. ^{2, 3}, Ferdousi, Reza ^{2, ∗}

Deep learning in next-generation vaccine development for infectious diseases: Stages and tools involved in epitope selection to vaccine development and characterization

Bhattacharya, Manojit ^{1, 8}, Lo, Yi-Hao ^{2, 3, 8}, Chatterjee, Srijan ⁴, Das, Arpita ⁵, Wen, Zhi-Hong ^{6, 7}, Chakraborty, Chiranjib ^{5, 8, ∗}

Realizing the therapeutic potential of rapid knockdown of transthyretin via RNA interference in transthyretin amyloidosis

Grogan, Martha ^{1, ∗}, Sheikh, Farooq H. ², Sperry, Brett W. ³, Sweetser, Marianne T. ⁴, Capocelli, Kelley ^{4, 6}, Roblin, Steven ⁴, Witteles, Ronald ⁵

CHD6 eviction of promoter nucleosomes maintains housekeeping transcriptional program in prostate cancer

Lina Bu, Shaodong Huang, Ziyan Rao, Chenyang Wu, Bryan-Yu Sun, Yanhua Liu, Lin He, Dongyu Zhao

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DTMP-prime: A deep transformer-based model for predicting prime editing efficiency and PegRNA activity

Roghayyeh Alipanahi, Leila Safari, Alireza Khanteymoori

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Interpretable deep cross networks unveiled common signatures of dysregulated epitranscriptomes across 12 cancer types

Rong Xia, Xiangyu Yin, Jiaming Huang, Kunqi Chen, Jiongming Ma, Zhen Wei, Jionglong Su, Neil Blake, Daniel J. Rigden, Jia Meng, Bowen Song

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Molecular classification of geriatric breast cancer displays distinct senescent subgroups of prognostic significance

Xia Wu, Mengxin Chen, Kang Liu, Yixin Wu, Yun Feng, Shiting Fu, Huaimeng Xu, Yongqi Zhao, Feilong Lin, Liang Lin, Shihui Ye, Junqiang Lin, Taiping Xiao, Wenhao Li, Meng Lou, Hongyu Lv, Ye Qiu, Ruifan Yu, Wenyan Chen, Mengyuan Li, Xu Feng, Zhongbing Luo, Lu Guo, Hao Ke, Limin Zhao

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Identification of a histone deacetylase inhibitor as a therapeutic candidate for congenital central hypoventilation syndrome

Chiara Africano, Tiziana Bachetti, Paolo Uva, Gabriel Pitollat, Genny Del Zotto, Francesca Giacopelli, Giada Recchi, Nicolas Lenfant, Amélia Madani, Nathan Beckouche, Muriel Thoby-Brisson, Isabella Ceccherini

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AptamerRunner: An accessible aptamer structure prediction and clustering algorithm for visualization of selected aptamers

Dario Ruiz-Ciancio, Suresh Veeramani, Rahul Singh, Eric Embree, Chris Ortman, Kristina W. Thiel, William H. Thiel

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The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges

Chiranjib Chakraborty, Manojit Bhattacharya, Sang-Soo Lee, Zhi-Hong Wen, Yi-Hao Lo

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SAP30, an oncogenic driver of progression, poor survival, and drug resistance in neuroblastoma

Philip Prathipati, Anup S. Pathania, Nagendra K. Chaturvedi, Subash C. Gupta, Siddappa N. Byrareddy, Don W. Coulter, Kishore B. Challagundla

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