Artificial intelligence in drug combination therapy von Tsigelny, Igor F

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Artificial Intelligence in Drug Treatment von Romm, Eden L, Tsigelny, Igor F

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Polycomb repressive 2 complex—Molecular mechanisms of function von Kouznetsova, Valentina L., Tchekanov, Alex, Li, Xiaoming, Yan, Xiaowen, Tsigelny, Igor F.

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Finding distinctions between oral cancer and periodontitis using saliva metabolites and machine learning von Kouznetsova, Valentina L., Li, Jeremy, Romm, Eden, Tsigelny, Igor F.

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piRNA in Machine-Learning-Based Diagnostics of Colorectal Cancer von Li, Sienna, Kouznetsova, Valentina L, Kesari, Santosh, Tsigelny, Igor F

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High expression of PD-1 ligands is associated with kataegis mutational signature and APOBEC3 alterations von Boichard, Amélie, Tsigelny, Igor F., Kurzrock, Razelle

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Biological functions of the Olig gene family in brain cancer and therapeutic targeting von Szu, Jenny I, Tsigelny, Igor F, Wojcinski, Alexander, Kesari, Santosh

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Mechanisms of hybrid oligomer formation in the pathogenesis of combined Alzheimer's and Parkinson's diseases von Tsigelny, Igor F, Crews, Leslie, Desplats, Paula, Shaked, Gideon M, Sharikov, Yuriy, Mizuno, Hideya, Spencer, Brian, Rockenstein, Edward, Trejo, Margarita, Platoshyn, Oleksandr, Yuan, Jason X-J, Masliah, Eliezer

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Next‐Generation Sequencing of Circulating Tumor DNA Reveals Frequent Alterations in Advanced Hepatocellular Carcinoma von Ikeda, Sadakatsu, Tsigelny, Igor F., Skjevik, Åge A., Kono, Yuko, Mendler, Michel, Kuo, Alexander, Sicklick, Jason K., Heestand, Gregory, Banks, Kimberly C., Talasaz, AmirAli, Lanman, Richard B., Lippman, Scott, Kurzrock, Razelle

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Potential COVID-19 papain-like protease PLpro inhibitors: repurposing FDA-approved drugs von Kouznetsova, Valentina L, Zhang, Aidan, Tatineni, Mahidhar, Miller, Mark A, Tsigelny, Igor F

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Colorectal Cancer Detection via Metabolites and Machine Learning von Yang, Rachel, Tsigelny, Igor F, Kesari, Santosh, Kouznetsova, Valentina L

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APOBEC-related mutagenesis and neo-peptide hydrophobicity: implications for response to immunotherapy von Boichard, Amélie, Pham, Timothy V., Yeerna, Huwate, Goodman, Aaron, Tamayo, Pablo, Lippman, Scott, Frampton, Garrett M., Tsigelny, Igor F., Kurzrock, Razelle

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Untargeted Metabolomics Identifies Enterobiome Metabolites and Putative Uremic Toxins as Substrates of Organic Anion Transporter 1 (Oat1) von Wikoff, William R, Nagle, Megha A, Kouznetsova, Valentina L, Tsigelny, Igor F, Nigam, Sanjay K

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Structure-selected RBM immunogens prime polyclonal memory responses that neutralize SARS-CoV-2 variants of concern von Almanza, Gonzalo, Clark, Alex E, Kouznetsova, Valentina, Olmedillas, Eduardo, Castro, Andrea, Tsigelny, Igor F, Wu, Yan, Gao, George F, Leibel, Sandra L, Bray, William, Ollmann Saphire, Erica, Carlin, Aaron F, Zanetti, Maurizio

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ANKRD9 is a metabolically-controlled regulator of IMPDH2 abundance and macro-assembly von Hayward, Dawn, Kouznetsova, Valentina L., Pierson, Hannah E., Hasan, Nesrin M., Guzman, Estefany R., Tsigelny, Igor F., Lutsenko, Svetlana

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Implementation of Machine Learning-Based System for Early Diagnosis of Feline Mammary Carcinomas through Blood Metabolite Profiling von Kulkarni, Vidhi, Tsigelny, Igor F, Kouznetsova, Valentina L

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Small molecular decoys in Alzheimer's disease von Oasa, Sho, Kouznetsova, Valentina L, Tsigelny, Igor F, Terenius, Lars

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miRNA in Machine-Learning-Based Diagnostics of Oral Cancer von Li, Xinghang, Kouznetsova, Valentina L, Tsigelny, Igor F

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Diagnostics of Thyroid Cancer Using Machine Learning and Metabolomics von Kuang, Alyssa, Kouznetsova, Valentina L, Kesari, Santosh, Tsigelny, Igor F

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Parkinson's Disease Diagnosis Using miRNA Biomarkers and Deep Learning von Kumar, Alex, Kouznetsova, Valentina L, Kesari, Santosh, Tsigelny, Igor F

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