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

Scientific reports, 2021-02, Vol.11 (1), p.3287-3287, Article 3287

2021

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

BMC bioinformatics, 2021-06, Vol.22 (1), p.1-342, Article 342

2021

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

Scientific reports, 2020-09, Vol.10 (1), p.14557-14557, Article 14557

2020

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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.)

PloS one, 2017-01, Vol.12 (1), p.e0169605

2017

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

PloS one, 2018-08, Vol.13 (8), p.e0199444-e0199444

2018

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

PloS one, 2016-07, Vol.11 (7), p.e0159343-e0159343

2016

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

3 Biotech, 2021-11, Vol.11 (11), p.484-484, Article 484

2021

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

The plant genome, 2024-03, Vol.17 (1), p.e20259-n/a

2024

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Augmentation of damping force by modifying the geometrical shape of the MR damper

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023-06, Vol.45 (6), Article 310

2023

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

International journal of molecular sciences, 2022-01, Vol.23 (3), p.1612

2022

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

BMC genetics, 2019-01, Vol.20 (1), p.2

2019

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

Molecular breeding, 2021-07, Vol.41 (7), p.46-46, Article 46

2021

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

Physiology and molecular biology of plants, 2022-03, Vol.28 (3), p.651-668

2022

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Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.)

The plant genome, 2023-12, Vol.16 (4), p.e20332-n/a

2023

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

Scientific reports, 2019-01, Vol.9 (1), p.778-778, Article 778

2019

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Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques

PloS one, 2023-08, Vol.18 (8), p.e0288173-e0288173

2023

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

Scientific reports, 2020-12, Vol.10 (1)

2020

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

Scientific reports, 2020-12, Vol.10 (1), p.21593-21593, Article 21593

2020

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

Physiology and molecular biology of plants, 2022, Vol.28 (1), p.1-16

2022

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

Plant methods, 2021-04, Vol.17 (1), p.46-46, Article 46

2021

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MICFuzzy: A maximal information content based fuzzy approach for reconstructing genetic networks

PloS one, 2023-07, Vol.18 (7), p.e0288174-e0288174

2023

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

Heredity, 2022-06, Vol.128 (6), p.519-530

2022

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

Scientific reports, 2017-02, Vol.7 (1), p.42362-42362, Article 42362

2017

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A study on nitrogen fixation related proteins

Canadian Journal of Biotechnology, 2017-10, Vol.1 (Special Issue), p.53-53

2017

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

The Indian journal of agricultural sciences, 2015-12, Vol.85 (12)

2015

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

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

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

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.)

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

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

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

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

Augmentation of damping force by modifying the geometrical shape of the MR damper

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

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

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

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

Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.)

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

Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques

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

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

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

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

MICFuzzy: A maximal information content based fuzzy approach for reconstructing genetic networks

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

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

A study on nitrogen fixation related proteins

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

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