Alok Sharma

发表

Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC.

James G. Lyons, K. Paliwal, A. Dehzangi, 2015, Journal of theoretical biology.

Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction

T. Tsunoda, A. Dehzangi, Alok Sharma, 2018, BMC Genomics.

Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning

James G. Lyons, K. Paliwal, Yaoqi Zhou, 2015, Scientific Reports.

PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids

S. Ranganathan, T. Tsunoda, K. Chou, 2018, Scientific Reports.

PupStruct: Prediction of Pupylated Lysine Residues Using Structural Properties of Amino Acids

A. Dehzangi, Alok Sharma, Vineet Singh, 2020, Genes.

Regularisation of eigenfeatures by extrapolation of scatter-matrix in face-recognition problem

K. Paliwal, Alok Sharma, 2010 .

CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data

Khondaker Abdullah Al Mamun, Md. Ochiuddin Miah, K. Mamun, 2021, Journal of Neuroscience Methods.

CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data

Md. Ochiuddin Miah, K. Mamun, A. Dehzangi, 2021, Journal of Neuroscience Methods.

PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction.

T. Tsunoda, J. Michaelson, A. Dehzangi, 2017, Journal of theoretical biology.

SucStruct: Prediction of succinylated lysine residues by using structural properties of amino acids.

T. Tsunoda, J. Michaelson, A. Dehzangi, 2017, Analytical biochemistry.

Enhanced Motor Imagery Classification using Riemannian Tangent Space Mapping

Alok Sharma, Shiu Kumar, Kabir Mamun, 2018 .

Bigram-PGK: phosphoglycerylation prediction using the technique of bigram probabilities of position specific scoring matrix

T. Tsunoda, A. Dehzangi, Alok Sharma, 2019, BMC Molecular and Cell Biology.

Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAAC

James G. Lyons, K. Paliwal, T. Tsunoda, 2015, IEEE Transactions on NanoBioscience.

EvolStruct-Phogly: incorporating structural properties and evolutionary information from profile bigrams for the phosphoglycerylation prediction

A. Dehzangi, Alok Sharma, A. Chandra, 2019, BMC Genomics.

SumSec: Accurate Prediction of Sumoylation Sites Using Predicted Secondary Structure

T. Tsunoda, A. Dehzangi, Alok Sharma, 2018, Molecules.

Probabilistic expression of spatially varied amino acid dimers into general form of Chou׳s pseudo amino acid composition for protein fold recognition.

James G. Lyons, K. Paliwal, S. Miyano, 2015, Journal of theoretical biology.

HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues

T. Tsunoda, A. Dehzangi, Alok Sharma, 2019, BMC Genomics.

Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data

Keith A. Boroevich, T. Tsunoda, K. Ozaki, 2019, Communications Biology.

Chapter 6 SPIDER 2 : A Package to Predict Secondary Structure , Accessible Surface Area , and Main-Chain Torsional Angles by Deep Neural Networks

James G. Lyons, K. Paliwal, Yaoqi Zhou, 2016 .

Principal component analysis using QR decomposition

Kuldip K. Paliwal, Satoru Miyano, Alok Sharma, 2013, Int. J. Mach. Learn. Cybern..

Pattern Classification: An Improvement Using Combination of VQ and PCA Based Techniques

K. Paliwal, Alok Sharma, G. Onwubolu, 2005 .

EXPLORING TECHNIQUES FOR OPTIMAL FEATURE AND CLASSIFIER SELECTION FOR PROTEIN MODELING, FUNCTION, AND FOLD RECOGNITION

James G. Lyons, K. Paliwal, S. Miyano, 2015 .

CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks.

T. Tsunoda, Swakkhar Shatabda, Alok Sharma, 2022, Gene.

Predicting MoRFs in protein sequences using HMM profiles

T. Tsunoda, Ashwini Patil, Alok Sharma, 2016, BMC Bioinformatics.

Intrusion detection using text processing techniques with a kernel based similarity measure

Kuldip K. Paliwal, Alok Sharma, Arun K. Pujari, 2007, Comput. Secur..

A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data

Tatsuhiko Tsunoda, Kouichi Ozaki, Daichi Shigemizu, 2019, BMC Medical Genomics.

Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data

Keith A. Boroevich, T. Tsunoda, K. Ozaki, 2020, Alzheimer's research & therapy.

Divisive hierarchical maximum likelihood clustering

Alok Sharma, Yosvany López, Tatsuhiko Tsunoda, 2017, BMC Bioinformatics.

Hierarchical Maximum Likelihood Clustering Approach

Alok Sharma, Tatsuhiko Tsunoda, Daichi Shigemizu, 2017, IEEE Transactions on Biomedical Engineering.

A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition

Kuldip K. Paliwal, Satoru Miyano, James G. Lyons, 2013, BMC Bioinformatics.

DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

Tatsuhiko Tsunoda, Daichi Shigemizu, Keith A. Boroevich, 2019, Scientific Reports.

Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2016, Bioinform..

A deterministic approach to regularized linear discriminant analysis

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2015, Neurocomputing.

DeepInsight-3D for precision oncology: an improved anti-cancer drug response prediction from high-dimensional multi-omics data with convolutional neural networks

Keith A. Boroevich, T. Tsunoda, Alok Sharma, 2022, bioRxiv.

PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences

Abdollah Dehzangi, Sajid Ahmed, Swakkhar Shatabda, 2019, Bioinform..

DeepFeature: feature selection in nonimage data using convolutional neural network

Keith A. Boroevich, T. Tsunoda, Alok Sharma, 2021, Briefings Bioinform..

Pattern classification: An improvement using combination of VQ and PCA techniques

Kuldip K. Paliwal, Godfrey C. Onwubolu, Alok Sharma, 2005 .

OPAL+: Length‐Specific MoRF Prediction in Intrinsically Disordered Protein Sequences

Ronesh Sharma, Alok Sharma, Ashwini Patil, 2018, Proteomics.

A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancer

Abdollah Dehzangi, Alok Sharma, Akram Vasighizaker, 2019, PloS one.

Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram

Abdollah Dehzangi, Alok Sharma, Sunil Pranit Lal, 2016, J. Softw..

Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2013, PRIB.

OPAL: prediction of MoRF regions in intrinsically disordered protein sequences

Ronesh Sharma, Alok Sharma, Ashwini Patil, 2018, Bioinform..

Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors

Sajid Ahmed, Swakkhar Shatabda, Abdollah Dehzangi, 2020, Computational and structural biotechnology journal.

Linear discriminant analysis for the small sample size problem: an overview

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2014, International Journal of Machine Learning and Cybernetics.

A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2012, Pattern Recognit..

A Top-r Feature Selection Algorithm for Microarray Gene Expression Data

Satoru Miyano, Alok Sharma, Seiya Imoto, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Improved direct LDA and its application to DNA microarray gene expression data

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2010, Pattern Recognit. Lett..

SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks.

James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, 2017, Methods in molecular biology.

Proposing a highly accurate protein structural class predictor using segmentation-based features

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, BMC Genomics.

A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition.

James G. Lyons, Abdollah Dehzangi, Alok Sharma, 2013, Journal of theoretical biology.

DeepAmp: A Convolutional Neural Network Based Tool for Predicting Protein AMPylation Sites From Binary Profile Representation

Sayed Mehedi Azim, Swakkhar Shatabda, A. Dehzangi, 2021 .

RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix

A. Dehzangi, Alok Sharma, A. Chandra, 2020, Genes.

FEATS: feature selection-based clustering of single-cell RNA-seq data.

Alok Sharma, Ashwini Patil, Edwin Vans, 2020, Briefings in bioinformatics.

FEATS: Feature selection based clustering of single-cell RNA-seq data

Ashwini Patil, Alok Sharma, Edwin Vans, 2020, bioRxiv.

Clustering of Small-Sample Single-Cell RNA-Seq Data via Feature Clustering and Selection

Daichi Shigemizu, Edwin Vans, Alok Sharma, 2019, PRICAI.

ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides

Swakkhar Shatabda, A. Dehzangi, Alok Sharma, 2020, Scientific Reports.

Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features

Kuldip K. Paliwal, James G. Lyons, Rhys Heffernan, 2015, BMC Bioinformatics.

Single-stranded and double-stranded DNA-binding protein prediction using HMM profiles.

Ronesh Sharma, Tatsuhiko Tsunoda, Shiu Kumar, 2020, Analytical biochemistry.

EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features.

Abdollah Dehzangi, Alok Sharma, Swakkhar Shatabda, 2018, Journal of theoretical biology.

Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams

Abdollah Dehzangi, Alok Sharma, Yosvany López, 2018, PloS one.

iPHLoc-ES: Identification of bacteriophage protein locations using evolutionary and structural features.

Abdollah Dehzangi, Swakkhar Shatabda, Sanjay Saha, 2017, Journal of theoretical biology.

HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features

Abdollah Dehzangi, Alok Sharma, Mahmood A. Rashid, 2017, BioMed research international.

Protein fold recognition using HMM-HMM alignment and dynamic programming.

James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, 2016, Journal of theoretical biology.

Subcellular localization for Gram positive and Gram negative bacterial proteins using linear interpolation smoothing model.

Abdollah Dehzangi, Alok Sharma, Sunil Lal, 2015, Journal of theoretical biology.

Importance of dimensionality reduction in protein fold recognition

Ronesh Sharma, James G. Lyons, Abdollah Dehzangi, 2015, 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE).

A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2015, Int. J. Data Min. Bioinform..

Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2013, Australasian Conference on Artificial Intelligence.

Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2013, PRIB.

A Combination of Feature Extraction Methods with an Ensemble of Different Classifiers for Protein Structural Class Prediction Problem

Abdollah Dehzangi, Alok Sharma, Abdul Sattar, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information

Alok Sharma, Tatsuhiko Tsunoda, Shiu Kumar, 2017, BMC Bioinformatics.

A new parameter tuning approach for enhanced motor imagery EEG signal classification

Alok Sharma, Shiu Kumar, Alok Sharma, 2018, Medical & Biological Engineering & Computing.

Null space based feature selection method for gene expression data

S. Miyano, S. Imoto, Alok Sharma, 2012, Int. J. Mach. Learn. Cybern..

A between-Class Overlapping Filter-Based Method for transcriptome Data Analysis

Satoru Miyano, Alok Sharma, Seiya Imoto, 2012, J. Bioinform. Comput. Biol..

Improving protein fold recognition and structural class prediction accuracies using physicochemical properties of amino acids.

Abdollah Dehzangi, Alok Sharma, Sunil Lal, 2016, Journal of theoretical biology.

Brain wave classification using long short-term memory network based OPTICAL predictor

Alok Sharma, Tatsuhiko Tsunoda, Shiu Kumar, 2019, Scientific Reports.

A filter based feature selection algorithm using null space of covariance matrix for DNA microarray gene expression data

Satoru Miyano, Alok Sharma, Seiya Imoto, 2012 .

Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, BMC Bioinformatics.

Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping.

James G. Lyons, Abdollah Dehzangi, Alok Sharma, 2014, Journal of theoretical biology.

Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, J. Adv. Comput. Intell. Intell. Informatics.

A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, IEEE Transactions on NanoBioscience.

SPECTRA: a tool for enhanced brain wave signal recognition

Tatsuhiko Tsunoda, Alok Sharma, Shiu Kumar, 2021, BMC Bioinformatics.

Protein secondary structure prediction using neural networks and deep learning: A review

Mahmood A. Rashid, Alok Sharma, Wafaa Wardah, 2019, Comput. Biol. Chem..

Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data

Keith A. Boroevich, T. Tsunoda, K. Ozaki, 2019, Communications Biology.

GlyStruct: glycation prediction using structural properties of amino acid residues

A. Dehzangi, Alok Sharma, A. Chandra, 2019, BMC Bioinformatics.

Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features

Abdollah Dehzangi, Swakkhar Shatabda, Shubhashis Roy Dipta, 2020, IEEE Access.

PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids

S. Ranganathan, T. Tsunoda, K. Chou, 2018, Scientific Reports.

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, J. Comput. Chem..

Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2008, IEEE Transactions on Knowledge and Data Engineering.

Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction

T. Tsunoda, A. Dehzangi, Alok Sharma, 2018, BMC Genomics.

CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI

Alok Sharma, Shiu Kumar, Kabir Mamun, 2017, Comput. Biol. Medicine.

Principal component analysis using QR decomposition

K. Paliwal, S. Imoto, Alok Sharma, 2012, International Journal of Machine Learning and Cybernetics.

MoRFPred-plus: Computational Identification of MoRFs in Protein Sequences using Physicochemical Properties and HMM profiles.

Ronesh Sharma, Alok Sharma, Ashwini Patil, 2018, Journal of theoretical biology.

A Deep Learning Approach for Motor Imagery EEG Signal Classification

Tatsuhiko Tsunoda, Shiu Kumar, Alok Sharma, 2016, 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE).

Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification

Ronesh Sharma, Alok Sharma, Tatsuhiko Tsunoda, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

An integrative machine learning approach for prediction of toxicity-related drug safety

Alok Sharma, Artem Lysenko, Tatsuhiko Tsunoda, 2018, Life Science Alliance.

HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues

T. Tsunoda, A. Dehzangi, Alok Sharma, 2019, BMC Genomics.

Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov Models

James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, 2015, IEEE Transactions on NanoBioscience.

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

Abdollah Dehzangi, Swakkhar Shatabda, Md. Al Mehedi Hasan, 2020, Genes.

2D–EM clustering approach for high-dimensional data through folding feature vectors

T. Tsunoda, Alok Sharma, P. Kamola, 2017, BMC Bioinformatics.

Stepwise iterative maximum likelihood clustering approach

Keith A. Boroevich, Y. Kamatani, T. Tsunoda, 2016, BMC Bioinformatics.

A feature selection method using improved regularized linear discriminant analysis

Kuldip K. Paliwal, Satoru Miyano, Alok Sharma, 2014, Machine Vision and Applications.

Fast principal component analysis using fixed-point algorithm

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2007, Pattern Recognit. Lett..

Forecasting the spread of COVID-19 using LSTM network

Tatsuhiko Tsunoda, Alok Sharma, Thirumananseri Kumarevel, 2021, BMC Bioinformatics.

Class-dependent PCA, MDC and LDA: A combined classifier for pattern classification

Kuldip K. Paliwal, Godfrey C. Onwubolu, Alok Sharma, 2006, Pattern Recognit..

Improved Pseudoinverse Linear Discriminant Analysis Method for Dimensionality Reduction

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2012, Int. J. Pattern Recognit. Artif. Intell..

Improved nearest centroid classifier withshrunken distance measure for null LDAmethod on cancer classification problem

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2010 .

2D–EM clustering approach for high-dimensional data through folding feature vectors

Alok Sharma, Tatsuhiko Tsunoda, Piotr J. Kamola, 2017, BMC Bioinformatics.

A feature selection method using fixed-point algorithm for DNA microarray gene expression data

Kuldip K. Paliwal, Satoru Miyano, Alok Sharma, 2014, Int. J. Knowl. Based Intell. Eng. Syst..

A two-stage linear discriminant analysis for face-recognition

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2012, Pattern Recognit. Lett..

A Gradient Linear Discriminant Analysis for Small Sample Sized Problem

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2008, Neural Processing Letters.

Gene masking - a technique to improve accuracy for cancer classification with high dimensionality in microarray data

T. Tsunoda, Alok Sharma, S. Lal, 2016, BMC Medical Genomics.

Predicting protein-peptide binding sites with a Deep Convolutional Neural Network.

Abdollah Dehzangi, Mahmood A. Rashid, Tatsuhiko Tsunoda, 2020, Journal of theoretical biology.

Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction

Abdollah Dehzangi, Daichi Shigemizu, Abel Avitesh Chandra, 2019, PRICAI.

C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences

Yosvany López, Abdollah Dehzangi, Alok Sharma, 2020, Comput. Biol. Chem..

Cancer classification by gradient LDA technique using microarray gene expression data

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2008, Data Knowl. Eng..

DeepInsight-FS: Selecting features for non-image data using convolutional neural network

Artem Lysenko, Tatsuhiko Tsunoda, Keith A. Boroevich, 2020, bioRxiv.

Deep Learning for Protein–peptide binding Prediction: Incorporating Sequence, Structural and Language Model Features

A. Sattar, Alok Sharma, A. Chandra, 2023, bioRxiv.

A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation

Sayed Mehedi Azim, Swakkhar Shatabda, Alok Sharma, 2022, Scientific Reports.

A Top-r Feature Selection Algorithm for Microarray Gene Expression Data

S. Miyano, S. Imoto, Alok Sharma, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals

Alok Sharma, Shiu Kumar, Ronesh Sharma, 2021, PeerJ Comput. Sci..

Brain wave classification using long short-term memory network based OPTICAL predictor

T. Tsunoda, Alok Sharma, Shiu Kumar, 2019, Scientific Reports.

Strategy of finding optimal number of features on gene expression data

Satoru Miyano, Alokanand Sharma, Chuan Hock Koh, 2011 .

Gene masking - a technique to improve accuracy for cancer classification with high dimensionality in microarray data

Tatsuhiko Tsunoda, Harsh Saini, Alok Sharma, 2016, BMC Medical Genomics.

Subspace independent component analysis using vector kurtosis

K. Paliwal, Alok Sharma, 2006, Pattern Recognit..

Subject-Specific-Frequency-Band for Motor Imagery EEG Signal Recognition Based on Common Spatial Spectral Pattern

Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda, 2019, PRICAI.

Predicting MoRFs in protein sequences using HMM profiles

Ronesh Sharma, Alok Sharma, Ashwini Patil, 2016, BMC Bioinformatics.

GlyStruct: glycation prediction using structural properties of amino acid residues

Abdollah Dehzangi, Alok Sharma, Daichi Shigemizu, 2019, BMC Bioinformatics.

PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences

Swakkhar Shatabda, A. Dehzangi, Alok Sharma, 2019, Bioinform..