A sequence-based prediction of Kruppel-like factors proteins using XGBoost and optimized features
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A sequence-based prediction of Kruppel-like factors proteins using XGBoost and optimized features
Authors
Keywords
Kruppel-like factor, eXtreme Gradient Boosting, Zinc finger, Feature selection, SMOTE imbalance, Protein sequence
Journal
GENE
Volume 787, Issue -, Pages 145643
Publisher
Elsevier BV
Online
2021-04-19
DOI
10.1016/j.gene.2021.145643
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features
- (2020) Duyen Thi Do et al. GENOMICS
- Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework
- (2020) Md Mehedi Hasan et al. BRIEFINGS IN BIOINFORMATICS
- Computational prediction of species-specific yeast DNA replication origin via iterative feature representation
- (2020) Balachandran Manavalan et al. BRIEFINGS IN BIOINFORMATICS
- Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles
- (2019) Nguyen Quoc Khanh Le et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome
- (2019) Md. Mehedi Hasan et al. INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
- iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences
- (2018) Zhen Chen et al. BIOINFORMATICS
- UniProt: a worldwide hub of protein knowledge
- (2018) NUCLEIC ACIDS RESEARCH
- Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins
- (2017) Nguyen-Quoc-Khanh Le et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Database resources of the National Center for Biotechnology Information
- (2017) et al. NUCLEIC ACIDS RESEARCH
- Characterization and phylogenetic analysis of Krüppel-like transcription factor (KLF) gene family in tree shrews (Tupaia belangeri chinensis)
- (2016) Ming Shao et al. Oncotarget
- Comprehensive Identification of Krüppel-Like Factor Family Members Contributing to the Self-Renewal of Mouse Embryonic Stem Cells and Cellular Reprogramming
- (2016) Hyojung Jeon et al. PLoS One
- Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation
- (2015) Nuala A. O'Leary et al. NUCLEIC ACIDS RESEARCH
- A New Family of Predicted Krüppel-Like Factor Genes and Pseudogenes in Placental Mammals
- (2013) Jimin Pei et al. PLoS One
- CD-HIT: accelerated for clustering the next-generation sequencing data
- (2012) Limin Fu et al. BIOINFORMATICS
- Krüppel-like factor 4 regulates pressure-induced cardiac hypertrophy
- (2010) Xudong Liao et al. JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY
- Mammalian Krüppel-Like Factors in Health and Diseases
- (2010) Beth B. McConnell et al. PHYSIOLOGICAL REVIEWS
- A unique sequence in the N-terminal regulatory region controls the nuclear localization of KLF8 by cooperating with the C-terminal zinc-fingers
- (2009) Tina S Mehta et al. CELL RESEARCH
- Porcine KLF gene family: Structure, mapping, and phylogenetic analysis
- (2009) Zhilong Chen et al. GENOMICS
- Keep Your Fingers Off My DNA: Protein–Protein Interactions Mediated by C2H2 Zinc Finger Domains
- (2008) Kathryn J. Brayer et al. CELL BIOCHEMISTRY AND BIOPHYSICS
- Transcriptional Regulation of Adipogenesis by KLF4
- (2008) Kıvanç Birsoy et al. Cell Metabolism
- Krüppel-like transcription factors: A functional family
- (2007) Richard Pearson et al. INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started