Related references
Note: Only part of the references are listed.iRNA-ac4C: A novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA
Wei Su et al.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES (2023)
AcrPred: A hybrid optimization with enumerated machine learning algorithm to predict Anti-CRISPR proteins
Fu-Ying Dao et al.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES (2023)
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree
Adnan Khan et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2023)
Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides
Farman Ali et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2023)
Comparative analysis of the existing methods for prediction of antifreeze proteins
Adnan Khan et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2023)
Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy
Shahid Akbar et al.
IEEE ACCESS (2023)
Prediction of Amyloid Proteins Using Embedded Evolutionary & Ensemble Feature Selection Based Descriptors With eXtreme Gradient Boosting Model
Shahid Akbar et al.
IEEE ACCESS (2023)
Deep-PCL: A deep learning model for prediction of cancerlectins and non cancerlectins using optimized integrated features
Adnan et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2022)
iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach
Ashfaq Ahmad et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2022)
Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting
Farman Ali et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2022)
XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set
Rahu Sikander et al.
SCIENTIFIC REPORTS (2022)
ACP-2DCNN: Deep learning-based model for improving prediction of anticancer peptides using two-dimensional convolutional neural network
Ali Ghulam et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2022)
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network
Omar Barukab et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
Prediction of antifreeze proteins using machine learning
Adnan Khan et al.
SCIENTIFIC REPORTS (2022)
Deep-GHBP: Improving prediction of Growth Hormone-binding proteins using deep learning model
Farman Ali et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)
Prediction of Antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy
Shahid Akbar et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2022)
DBP-DeepCNN: Prediction of DNA-binding proteins using wavelet-based denoising and deep learning
Farman Ali et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2022)
Accurate Identification of DNA Replication Origin by Fusing Epigenomics and Chromatin Interaction Information
Fu-Yin Dao et al.
RESEARCH (2022)
iDBP-PBMD: A machine learning model for detection of DNA-binding proteins by extending compression techniques into evolutionary profile
Ameen Banjar et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2022)
Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks
Ashfaq Ahmad et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2021)
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model
Shahid Akbar et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information
Farman Ali et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
Hui Yang et al.
INFORMATION FUSION (2021)
DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning
Omar Barukab et al.
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (2021)
Integrated biomarker profiling of the metabolome associated with impaired fasting glucose and type 2 diabetes mellitus in large-scale Chinese patients
Jianglan Long et al.
CLINICAL AND TRANSLATIONAL MEDICINE (2021)
SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM
Farman Ali et al.
ANALYTICAL BIOCHEMISTRY (2020)
TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree
Muhammad Arif et al.
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN (2020)
iHBP-DeepPSSM: Identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach
Shahid Akbar et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)
DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information
Farman Ali et al.
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN (2019)
iRSpot-SPI: Deep learning-based recombination spots prediction by incorporating secondary sequence information coupled with physio-chemical properties via Chou's 5-step rule and pseudo components
Zaheer Ullah Khan et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)
Brain tumor classification for MR images using transfer learning and fine-tuning
Zar Nawab Khan Swati et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2019)
Prediction of membrane protein types by exploring local discriminative information from evolutionary profiles
Muhammad Kabir et al.
ANALYTICAL BIOCHEMISTRY (2019)
iPredCNC: Computational prediction model for cancerlectins and non-cancerlectins using novel cascade features subset selection
Zaheer Ullah Khan et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)
DBPPred-PDSD: Machine learning approach for prediction of DNA-binding proteins using Discrete Wavelet Transform and optimized integrated features space
Farman Ali et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2018)
Improving secretory proteins prediction in Mycobacterium tuberculosis using the unbiased dipeptide composition with support vector machine
Saeed Ahmed et al.
INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS (2018)
2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
Bin Liu et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2017)
iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset
Jianhua Jia et al.
ANALYTICAL BIOCHEMISTRY (2016)
Machine learning approaches for discrimination of Extracellular Matrix proteins using hybrid feature space
Farman Ali et al.
JOURNAL OF THEORETICAL BIOLOGY (2016)
iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets
Jianhua Jia et al.
MOLECULES (2016)
Accurate Prediction of Transposon-Derived piRNAs by Integrating Various Sequential and Physicochemical Features
Longqiang Luo et al.
PLOS ONE (2016)
Classification of membrane protein types using Voting Feature Interval in combination with Chou's Pseudo Amino Acid Composition
Farman Ali et al.
JOURNAL OF THEORETICAL BIOLOGY (2015)
G-Bean: an ontology-graph based web tool for biomedical literature retrieval
James Z. Wang et al.
BMC BIOINFORMATICS (2014)
NONCODE v3.0: integrative annotation of long noncoding RNAs
Dechao Bu et al.
NUCLEIC ACIDS RESEARCH (2012)
A k-mer scheme to predict piRNAs and characterize locust piRNAs
Yi Zhang et al.
BIOINFORMATICS (2011)
A novel class of small RNAs bind to MILI protein in mouse testes
Alexei Aravin et al.
NATURE (2006)
The functional genomics of noncoding RNA
JS Mattick
SCIENCE (2005)
Non-coding RNA genes and the modern RNA world
SR Eddy
NATURE REVIEWS GENETICS (2001)