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VOCCluster: Untargeted Metabolomics Feature Clustering Approach for Clinical Breath Gas Chromatography/Mass Spectrometry Data

Analytical chemistry (Washington), 2020-02, Vol.92 (4), p.2937-2945

2020

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Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data

2018 International Joint Conference on Neural Networks (IJCNN), 2018, p.1-8

2018

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A genetic algorithm applied to graph problems involving subsets of vertices

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), 2004, Vol.1, p.303-308 Vol.1

2004

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A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns

Scientific reports, 2022-09, Vol.12 (1), p.15183-15183, Article 15183

2022

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Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations

International journal of molecular sciences, 2022-10, Vol.23 (19), p.11539

2022

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DeepDBS: Identification of DNA-binding sites in protein sequences by using deep representations and random forest

Methods (San Diego, Calif.), 2024-11, Vol.231, p.26-36

2024

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BBB-PEP-prediction: improved computational model for identification of blood–brain barrier peptides using blending position relative composition specific features and ensemble modeling

Journal of cheminformatics, 2023-11, Vol.15 (1), p.110-110, Article 110

2023

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RCCC_Pred: A Novel Method for Sequence-Based Identification of Renal Clear Cell Carcinoma Genes through DNA Mutations and a Blend of Features

Diagnostics (Basel), 2022-12, Vol.12 (12), p.3036

2022

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DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers

PeerJ (San Francisco, CA), 2022-10, Vol.10, p.e14104, Article e14104

2022

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m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models

BioData mining, 2024-02, Vol.17 (1), p.4-4, Article 4

2024

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Gluconeogenesis unraveled: A proteomic Odyssey with machine learning

Methods (San Diego, Calif.), 2024-09

2024

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DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes

Computational biology and chemistry, 2023-06, Vol.104, p.107874-107874, Article 107874

2023

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Metabolomic Profiling, In Vitro Antimalarial Investigation and In Silico Modeling of the Marine Actinobacterium Strain Rhodococcus sp. UR111 Associated with the Soft Coral Nephthea sp

Antibiotics (Basel), 2022-11, Vol.11 (11), p.1631

2022

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Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations

Digital health, 2022, Vol.8, p.205520762211337

2022

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EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma

Genes, 2023-05, Vol.14 (5), p.1104

2023

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Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features

Digital health, 2023-01, Vol.9, p.20552076231180739-20552076231180739

2023

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iDHU-Ensem: Identification of dihydrouridine sites through ensemble learning models

Digital health, 2023-01, Vol.9, p.20552076231165963-20552076231165963

2023

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Ensemble Learning for Hormone Binding Protein Prediction: A Promising Approach for Early Diagnosis of Thyroid Hormone Disorders in Serum

Diagnostics (Basel), 2023-06, Vol.13 (11), p.1940

2023

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IGPred-HDnet: Prediction of Immunoglobulin Proteins Using Graphical Features and the Hierarchal Deep Learning-Based Approach

Computational intelligence and neuroscience, 2023, Vol.2023 (1), p.2465414-2465414

2023

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Metabolomic Profiling, In Vitro Antimalarial Investigation and In Silico Modeling of the Marine Actinobacterium Strain IRhodococcus/I sp. UR111 Associated with the Soft Coral INephthea/I sp

Antibiotics (Basel), 2022-11, Vol.11 (11)

2022

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VOCCluster: Untargeted Metabolomics Feature Clustering Approach for Clinical Breath Gas Chromatography/Mass Spectrometry Data

Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data

A genetic algorithm applied to graph problems involving subsets of vertices

A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns

Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations

DeepDBS: Identification of DNA-binding sites in protein sequences by using deep representations and random forest

BBB-PEP-prediction: improved computational model for identification of blood–brain barrier peptides using blending position relative composition specific features and ensemble modeling

RCCC_Pred: A Novel Method for Sequence-Based Identification of Renal Clear Cell Carcinoma Genes through DNA Mutations and a Blend of Features

DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers

m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models

Gluconeogenesis unraveled: A proteomic Odyssey with machine learning

DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes

Metabolomic Profiling, In Vitro Antimalarial Investigation and In Silico Modeling of the Marine Actinobacterium Strain Rhodococcus sp. UR111 Associated with the Soft Coral Nephthea sp

Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations

EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma

Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features

iDHU-Ensem: Identification of dihydrouridine sites through ensemble learning models

Ensemble Learning for Hormone Binding Protein Prediction: A Promising Approach for Early Diagnosis of Thyroid Hormone Disorders in Serum

IGPred-HDnet: Prediction of Immunoglobulin Proteins Using Graphical Features and the Hierarchal Deep Learning-Based Approach

Metabolomic Profiling, In Vitro Antimalarial Investigation and In Silico Modeling of the Marine Actinobacterium Strain IRhodococcus/I sp. UR111 Associated with the Soft Coral INephthea/I sp

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