Concepedia

Epigenetic Feature Selection

Epigenetic Feature Selection is a computational methodology that identifies biologically relevant and informative epigenomic markers—such as DNA methylation sites, histone modifications, or chromatin accessibility regions—from high-dimensional epigenetic data by distinguishing those most predictive or discriminative of a given phenotypic or regulatory outcome.

63

Publications

5K

Citations

1K

Authors

168

Institutions

Publications per year

2017–2026

41

Parents

Publications

63

Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

Tathiane M. Malta, Artem Sokolov, Andrew J. Gentles et al. · Cell · 2018 · 2.3K citations · Full text

, , +17

Energy use efficiency is characterized by an epigenetic component that can be directed through artificial selection to increase yield

Miriam Hauben, Boris Haesendonckx, Evi Standaert et al. · Proceedings of the National Academy of Sciences · 2009 · 204 citations · Full text

, , +15

SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome

Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin et al. · Molecular Therapy — Nucleic Acids · 2019 · 159 citations · Full text

, , +13

iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites in <i>Homo sapiens</i>

Hui Yang, Hao Lv, Hui Ding et al. · Journal of Computational Biology · 2018 · 155 citations

, , +15

Feature selection for DNA methylation based cancer classification

Fabian Model, Péter Adorján, Alexander Olek et al. · Bioinformatics · 2001 · 138 citations · Full text

, , +17

1–5 of 63

Authors

1K

  1. YC
    Yu‐Dong Cai

    Shanghai University, China

    4 publications · 125 citations

    4

    h-index

  2. HD
    Hui Ding

    University of Electronic Science and Technology of China, China

    4 publications · 211 citations

    4

    h-index

  3. WC
    Wei Chen

    North China University of Science and Technology, China

    3 publications · 229 citations

    3

    h-index

  4. SM
    Saurav Mallik

    Harvard University, United States

    3 publications · 79 citations

    3

    h-index

  5. AE
    Andrew E. Teschendorff

    University College London, United Kingdom

    3 publications · 206 citations

    3

    h-index

1–5 of 1K

Institutions

168

  1. University of Electronic Science and Technology of China

    Chengdu, China

    8 h-index

    22 publications

    1.6K citations

  2. Shanghai University

    Shanghai, China

    6 h-index

    15 publications

    472 citations

  3. Chinese Academy of Sciences

    Beijing, China

    6 h-index

    20 publications

    601 citations

  4. Harvard University

    Cambridge, United States

    5 h-index

    11 publications

    2.5K citations

  5. Shanghai Institute of Nutrition and Health

    Shanghai, China

    5 h-index

    8 publications

    266 citations

  6. North China University of Science and Technology

    Tangshan, China

    4 h-index

    5 publications

    268 citations

  7. Shanghai Maritime University

    Shanghai, China

    4 h-index

    4 publications

    119 citations

  8. Shanghai Jiao Tong University

    Shanghai, China

    4 h-index

    4 publications

    132 citations

1–8 of 168

Venues

  1. BMC Bioinformatics

    8 publications · 334 citations

    8

    h-index

  2. Bioinformatics

    5 publications · 334 citations

    5

    h-index

  3. BMC Genomics

    3 publications · 109 citations

    3

    h-index

  4. Clinical Epigenetics

    2 publications · 108 citations

    2

    h-index

  5. IEEE Access

    2 publications · 60 citations

    2

    h-index

1–5