Prabina Kumar Meher

发表

ICAR-IASRI Annual Report 2018-19

Ranjit Kumar Paul, Sukanta Dash, V Ramasubramanian, 2019 .

Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features

Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Rao, 2016, Algorithms for Molecular Biology.

A statistical approach for 5′ splice site prediction using short sequence motifs and without encoding sequence data

Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Rao, 2014, BMC Bioinformatics.

DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins

Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Rao, 2017, BMC Bioinformatics.

Discriminating coding from non-coding regions based on codon structure and methylation-mediated substitution: An application in rice and cattle

Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Rao, 2016, Comput. Electron. Agric..

A computational approach for prediction of donor splice sites with improved accuracy.

Prabina Kumar Meher, Tanmaya Kumar Sahu, A R Rao, 2016, Journal of theoretical biology.

An approach using random forest methodology for disease risk prediction using imbalanced case–control data in GWAS

Prabina Kumar Meher, Atmakuri Ramakrishna Rao, S. D. Wahi, 2014 .

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC

Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao, 2017, Scientific Reports.

Additional file 2: of Prediction of donor splice sites using random forest with a new sequence encoding approach

Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao, 2016 .

Prediction of donor splice sites using random forest with a new sequence encoding approach

Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Rao, 2016, BioData Mining.

mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net

Prabina Kumar Meher, Atmakuri Ramakrishna Rao, Anil Rai, 2021, BMC Bioinformatics.

miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides

Prabina Kumar Meher, Subhrajit Satpathy, A. Rao, 2020, Scientific Reports.

Evaluating the performance of sequence encoding schemes and machine learning methods for splice sites recognition.

Prabina Kumar Meher, Subhrajit Satpathy, A. Rao, 2019, Gene.

Determination of window size and identification of suitable method for prediction of donor splice sites in rice (Oryza sativa) genome

Prabina Kumar Meher, A. Rao, T. Sahu, 2015, Journal of Plant Biochemistry and Biotechnology.

Performance evaluation of neural network, support vector machine and random forest for prediction of donor splice sites in rice

Prabina Kumar Meher, A. Rao, T. Sahu, 2016 .

HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine

Prabina Kumar Meher, A. Rao, T. Sahu, 2019, Scientific Reports.

Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.)

Prabina Kumar Meher, V. Jaiswal, P. Gupta, 2016, PloS one.

Identification of species based on DNA barcode using k-mer feature vector and Random forest classifier.

Prabina Kumar Meher, Tanmaya Kumar Sahu, A R Rao, 2016, Gene.

Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-Expression Network Analysis: An Application to Aluminum Stress in Soybean (Glycine max L.)

Anil Rai, Prabina Kumar Meher, Lal Mohan Bhar, 2017, PloS one.

Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus

Prabina Kumar Meher, A. Rai, A. Sanyal, 2020, Scientific Reports.

funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model

Prabina Kumar Meher, A. Rao, T. Sahu, 2019, BMC Genetics.

Utility of cross-species amplification of 34 rohu microsatellite loci in Labeo bata, and their transferability in six other species of the cyprinidae family

Prabina Kumar Meher, P. Jayasankar, P. Das, 2010 .

Genome-wide development and deployment of informative intron-spanning and intron-length polymorphism markers for genomics-assisted breeding applications in chickpea.

Prabina Kumar Meher, Rishi Srivastava, H. Upadhyaya, 2016, Plant science : an international journal of experimental plant biology.

Inferring Gene Regulatory Networks Using Kendall's Tau Correlation Coefficient and Identification of Salinity Stress Responsive Genes in Rice

Prabina Kumar Meher, Samarendra Das, U. K. Pradhan, 2017 .

A comparative analysis of amino acid encoding schemes for the prediction of flexible length linear B-cell epitopes

Prabina Kumar Meher, A. Rao, T. Sahu, 2022, Briefings Bioinform..

An approach to the development of a core set of germplasm using a mixture of qualitative and quantitative data

Prabina Kumar Meher, T. Mohapatra, A. Rao, 2014, Plant Genetic Resources.

Performance of Bayesian and BLUP alphabets for genomic prediction: analysis, comparison and results

Prabina Kumar Meher, S. Rustgi, Anuj Kumar, 2022, Heredity.

ASRpro: A machine-learning computational model for identifying proteins associated with multiple abiotic stress in plants.

Prabina Kumar Meher, T. Sahu, S. Rustgi, 2022, The plant genome.

PlDBPred: a novel computational model for discovery of DNA binding proteins in plants

Prabina Kumar Meher, R. Parsad, S. Pal, 2022, Briefings Bioinform..

funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model

Prabina Kumar Meher, A. Rao, T. Sahu, 2019, BMC Genetics.

ToxA-Tsn1 Interaction for Spot Blotch Susceptibility in Indian Wheat: An Example of Inverse Gene-for-Gene Relationship.

V. K. Mishra, Prabina Kumar Meher, P. Gupta, 2019, Plant disease.

GIpred: a computational tool for prediction of GIGANTEA proteins using machine learning algorithm

Prabina Kumar Meher, S. K. Pradhan, Subhrajit Satpathy, 2022, Physiology and Molecular Biology of Plants.

PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel

Prabina Kumar Meher, S. K. Pradhan, A. Rai, 2021, Plant Methods.

Identification of efficient learning classifiers for discrimination of coding and non-coding RNAs in plant species

Prabina Kumar Meher, A. Rao, Sarika Sahu, 2022, Indian Journal of Genetics and Plant Breeding (The).

Genetics of Fe, Zn, β-carotene, GPC and yield traits in bread wheat (Triticum aestivum L.) using multi-locus and multi-traits GWAS

Prabina Kumar Meher, C. Sansaloni, P. Gupta, 2018, Euphytica.

Single-trait, multi-locus and multi-trait GWAS using four different models for yield traits in bread wheat

Prabina Kumar Meher, P. Gupta, Shiveta Sharma, 2021, Molecular Breeding.

Genome wide association mapping of agro-morphological traits among a diverse collection of finger millet (Eleusine coracana L.) genotypes using SNP markers

Prabina Kumar Meher, N. Singh, D. Sharma, 2018, PloS one.

GWAS for main effects and epistatic interactions for grain morphology traits in wheat

Prabina Kumar Meher, Shiveta Sharma, H. Balyan, 2022, Physiology and Molecular Biology of Plants.

ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based On g-Spaced Di-peptide Features and Support Vector Machine

Prabina Kumar Meher, Prabina K. Meher, Tanmaya K. Sahu, 2018, Front. Genet..

Improved recognition of splice sites in A. thaliana by incorporating secondary structure information into sequence-derived features: a computational study

Prabina Kumar Meher, Subhrajit Satpathy, 2021, 3 Biotech.

nifPred: Proteome-Wide Identification and Categorization of Nitrogen-Fixation Proteins of Diaztrophs Based on Composition-Transition-Distribution Features Using Support Vector Machine

Prabina Kumar Meher, Prabina K. Meher, Tanmaya K. Sahu, 2018, Front. Microbiol..

ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants

Prabina Kumar Meher, A. Rao, U. K. Pradhan, 2023, Functional & Integrative Genomics.

ASmiR: a machine learning framework for prediction of abiotic stress–specific miRNAs in plants

Prabina Kumar Meher, A. Rao, S. Pal, 2023, Functional & Integrative Genomics.

mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net

Prabina Kumar Meher, A. Rao, A. Rai, 2021, BMC Bioinform..

RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary features.

Prabina Kumar Meher, R. Parsad, S. Pal, 2023, Briefings in functional genomics.

ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants

Prabina Kumar Meher, A. Rao, U. K. Pradhan, 2023, Functional & Integrative Genomics.

ASmiR: a machine learning framework for prediction of abiotic stress–specific miRNAs in plants

Prabina Kumar Meher, A. Rao, S. Pal, 2023, Functional & Integrative Genomics.

ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo K-Tuple Nucleotide Compositional Features

Prabina Kumar Meher, K. Singh, O. Dhankher, 2022, International journal of molecular sciences.

DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins

Prabina Kumar Meher, A. Rao, T. Sahu, 2017, BMC Bioinformatics.

Computational Analysis of Internally Grooved Absorber Tubes of Parabolic Trough Solar Collector for Constant Mass Flow Rate of the Heat Transfer Fluid

Prabina Kumar Meher, K. Debnath, B. Debnath, 2020 .

HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine

Prabina Kumar Meher, A. Rao, T. Sahu, 2019, Scientific Reports.

Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features

Prabina Kumar Meher, A. Rao, T. Sahu, 2016, Algorithms for Molecular Biology.

Evaluation of random forest regression for prediction of breeding value from genomewide SNPs

Prabina Kumar Meher, T. Mohapatra, A. Rao, 2015, Journal of Genetics.

Performance of Bayesian and BLUP alphabets for genomic prediction: analysis, comparison and results

Prabina Kumar Meher, S. Rustgi, Anuj Kumar, 2022, Heredity.

Identification of a suitable clustering method and allocation strategy for core set development in salt stress tolerant rice (Oryza sativa) germplasm

Prabina Kumar Meher, A. Rao, S. Marwaha, 2015, The Indian Journal of Agricultural Sciences.

Inferring Gene Regulatory Networks Using Kendall's Tau Correlation Coefficient and Identification of Salinity Stress Responsive Genes in Rice

Prabina Kumar Meher, Samarendra Das, U. K. Pradhan, 2017 .

AScirRNA: A novel computational approach to discover abiotic stress-responsive circular RNAs in plant genomes

Prabina Kumar Meher, S. K. Pradhan, R. Parsad, 2024, Computational Biology and Chemistry.

RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotes

Prabina Kumar Meher, R. Parsad, U. K. Pradhan, 2024, Computational and structural biotechnology journal.