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References from DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins. Local targets link to admitted publications; unresolved targets remain external evidence.
Impact of cytosine methylation on DNA binding specificities of human transcription factors
2017 · External reference
DRNApred, fast sequence-based method that accurately predicts and discriminates DNA- and RNA-binding residues
2017 · External reference
A comprehensive review of the imbalance classification of protein post-translational modifications
2021 · External reference
10.1007/s11427-014-4703-5
10.1007/s11427-014-4703-5 · External reference
10.1016/j.compbiomed.2021.104406
10.1016/j.compbiomed.2021.104406 · External reference
Integration of multiple-omics data to analyze the population-specific differences for coronary artery disease
2021 · External reference
BIN1 rs744373 located in enhancers of brain tissues upregulates BIN1 mRNA expression, thereby leading to Alzheimer's disease
2022 · External reference
Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks
10.1101/gr.199935.115 · 2016 · External reference
10.1038/nrc3107
10.1038/nrc3107 · External reference
10.1093/bfgp/elaa023
10.1093/bfgp/elaa023 · External reference
iTTCA-RF: a random forest predictor for tumor T cell antigens
10.1186/s12967-021-03084-x · 2021 · External reference
Identification of Potential Immune-related Biomarkers in Gastrointestinal Cancers
10.2174/1574893615666210106121335 · 2021 · External reference
10.1038/s41564-020-00846-z
10.1038/s41564-020-00846-z · External reference
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning
10.1016/j.compbiomed.2021.104289 · 2021 · External reference
Cohesin SA1 and SA2 are RNA binding proteins that localize to RNA containing regions on DNA
10.1093/nar/gkaa284 · 2020 · External reference
De-novo protein function prediction using DNA binding and RNA binding proteins as a test case
10.1038/ncomms13424 · 2016 · External reference
10.1038/nrm3884
10.1038/nrm3884 · External reference
Goals and approaches for each processing step for single-cell RNA sequencing data
10.1093/bib/bbab105 · 2021 · External reference
Critical downstream analysis steps for single-cell RNA sequencing data
2021 · External reference
kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes
2021 · External reference
Application of machine learning in animal disease analysis and prediction
10.2174/1574893615999200728195613 · 2021 · External reference
Evaluation of machine learning algorithms for health and wellness applications: A tutorial
10.1016/j.compbiomed.2021.104324 · 2021 · External reference
A machine learning-based self-risk assessment technique for cervical cancer
10.2174/1574893615999200608130538 · 2021 · External reference
rs1990622 variant associates with Alzheimer's disease and regulates TMEM106B expression in human brain tissues
10.1186/s12916-020-01883-5 · 2021 · External reference
10.1093/brain/awaa302
10.1093/brain/awaa302 · External reference
A deep learning framework to predict binding preference of RNA constituents on protein surface
2019 · External reference
Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data
2022 · External reference
Bridge helix bending promotes RNA polymerase II backtracking through a critical and conserved threonine residue
2016 · External reference
10.1093/bib/bbv023
10.1093/bib/bbv023 · External reference
UniProtKB/Swiss-Prot, the manually annotated section of the UniProt KnowledgeBase: how to use the entry view
10.1007/978-1-4939-3167-5_2 · 2016 · External reference
10.1093/nar/gkl164
10.1093/nar/gkl164 · External reference
iDRBP_MMC: identifying DNA-binding proteins and RNA-binding proteins based on multi-label learning model and motif-based convolutional neural network
10.1016/j.jmb.2020.09.008 · 2020 · External reference
An in silico approach to identification, categorization and prediction of nucleic acid binding proteins
2021 · External reference
DeepDRBP-2L: A new genome annotation predictor for identifying DNA-binding proteins and RNA-binding proteins using convolutional neural network and long short-term memory
10.1109/tcbb.2019.2952338 · 2021 · External reference
In defense of one-vs-all classification
2004 · External reference
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes
10.1016/j.patcog.2011.01.017 · 2011 · External reference
10.1007/978-3-319-99740-7_12
10.1007/978-3-319-99740-7_12 · 2018 · External reference
10.1038/nbt.3300
10.1038/nbt.3300 · External reference
DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
10.1093/nar/gkw226 · 2016 · External reference
10.1093/bioinformatics/btx780
10.1093/bioinformatics/btx780 · External reference
DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning
10.1007/s11704-020-0180-0 · 2022 · External reference
Protein secondary structure prediction using character bi-gram embedding and Bi-LSTM
10.2174/2212392xmta34mdep1 · 2021 · External reference
SSP: Early prediction of sepsis using fully connected LSTM-CNN model
10.1016/j.compbiomed.2020.104110 · 2021 · External reference
Detection of alcoholism using EEG signals and a CNN-LSTM-ATTN network
10.1016/j.compbiomed.2021.104940 · 2021 · External reference
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound
10.1016/j.compbiomed.2021.104296 · 2021 · External reference
10.1016/j.ygeno.2020.08.016
10.1016/j.ygeno.2020.08.016 · External reference
iGlu_AdaBoost: identification of lysine glutarylation using the Adaboost classifier
10.1021/acs.jproteome.0c00314 · 2020 · External reference
BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches
10.1093/bib/bbx165 · 2019 · External reference
10.1093/bfgp/elaa030
10.1093/bfgp/elaa030 · External reference
NPalmitoylDeep-pseaac: A predictor of N-palmitoylation sites in proteins using deep representations of proteins and PseAAC via modified 5-steps rule
10.2174/2212392xmta3wmtij0 · 2021 · External reference
10.1016/j.compbiomed.2021.104682
10.1016/j.compbiomed.2021.104682 · External reference