Hasil Pencarian - Georgios K. Georgakilas

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  1. 1
    Solving the transcription start site identification problem with ADAPT-CAGE: a Machine Learning algorithm for the analysis of CAGE data

    Solving the transcription start site identification problem with ADAPT-CAGE: a Machine Learning algorithm for the analysis of CAGE data oleh Georgios K. Georgakilas, Nikos Perdikopanis, Artemis Hatzigeorgiou

    Diterbitkan 2020-01-01
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  2. 2
    A Cosine Similarity-Based Method to Infer Variability of Chromatin Accessibility at the Single-Cell Level

    A Cosine Similarity-Based Method to Infer Variability of Chromatin Accessibility at the Single-Cell Level oleh Stanley Cai, Stanley Cai, Stanley Cai, Georgios K. Georgakilas, Georgios K. Georgakilas, Georgios K. Georgakilas, John L. Johnson, John L. Johnson, John L. Johnson, Golnaz Vahedi, Golnaz Vahedi, Golnaz Vahedi

    Diterbitkan 2018-08-01
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  3. 3
    DeepTSS: multi-branch convolutional neural network for transcription start site identification from CAGE data

    DeepTSS: multi-branch convolutional neural network for transcription start site identification from CAGE data oleh Dimitris Grigoriadis, Nikos Perdikopanis, Georgios K. Georgakilas, Artemis G. Hatzigeorgiou

    Diterbitkan 2022-12-01
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  4. 4
    aPEAch: Automated Pipeline for End-to-End Analysis of Epigenomic and Transcriptomic Data

    aPEAch: Automated Pipeline for End-to-End Analysis of Epigenomic and Transcriptomic Data oleh Panagiotis Xiropotamos, Foteini Papageorgiou, Haris Manousaki, Charalampos Sinnis, Charalabos Antonatos, Yiannis Vasilopoulos, Georgios K. Georgakilas

    Diterbitkan 2024-07-01
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  5. 5
    Contribution of the Environment, Epigenetic Mechanisms and Non-Coding RNAs in Psoriasis

    Contribution of the Environment, Epigenetic Mechanisms and Non-Coding RNAs in Psoriasis oleh Charalabos Antonatos, Katerina Grafanaki, Paschalia Asmenoudi, Panagiotis Xiropotamos, Paraskevi Nani, Georgios K. Georgakilas, Sophia Georgiou, Yiannis Vasilopoulos

    Diterbitkan 2022-08-01
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  6. 6
    Machine-Learning-Assisted Analysis of TCR Profiling Data Unveils Cross-Reactivity between SARS-CoV-2 and a Wide Spectrum of Pathogens and Other Diseases

    Machine-Learning-Assisted Analysis of TCR Profiling Data Unveils Cross-Reactivity between SARS-CoV-2 and a Wide Spectrum of Pathogens and Other Diseases oleh Georgios K. Georgakilas, Achilleas P. Galanopoulos, Zafeiris Tsinaris, Maria Kyritsi, Varvara A. Mouchtouri, Matthaios Speletas, Christos Hadjichristodoulou

    Diterbitkan 2022-10-01
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