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Meenal Chaudhari

Showing results (1-10 of 14) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Multitask Learning-Based Approaches for Protein Function PredictionSoufia Bahmani, Meenal Chaudhari, Callen Carrier, et al.
Current Opinion in Plant Biology|December 20, 2022
Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studiesSebastiano Busato, Max Gordon, Meenal Chaudhari, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Graph Neural Network-Based Approaches for Protein Function PredictionMeenal Chaudhari, Soufia Bahmani, Pawel Pratyush, et al.
Bioinformatics (Oxford, England)|March 21, 2025
CaLMPhosKAN: prediction of general phosphorylation sites in proteins via fusion of codon aware embeddings with amino acid aware embeddings and wavelet-based Kolmogorov-Arnold networkPawel Pratyush, Callen Carrier, Suresh Pokharel, et al.
Molecular Omics|June 20, 2020
DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteinsMeenal Chaudhari, Niraj Thapa, Kaushik Roy, et al.
Journal of Proteome Research|July 17, 2023
LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language ModelSubash C Pakhrin, Suresh Pokharel, Pawel Pratyush, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 2, 2025
A Survey of Pretrained Protein Language ModelsSuresh Pokharel, Pawel Pratyush, Meenal Chaudhari, et al.
BMC Bioinformatics|April 24, 2020
DeepSuccinylSite: a deep learning based approach for protein succinylation site predictionNiraj Thapa, Meenal Chaudhari, Sean McManus, et al.
BMC Bioinformatics|August 21, 2022
Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site predictionNiraj Thapa, Meenal Chaudhari, Sean McManus, et al.
Frontiers in Cell and Developmental Biology|July 12, 2021
DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation SitesMeenal Chaudhari, Niraj Thapa, Hamid Ismail, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Multitask Learning-Based Approaches for Protein Function PredictionSoufia Bahmani, Meenal Chaudhari, Callen Carrier, et al.
Current Opinion in Plant Biology|December 20, 2022
Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studiesSebastiano Busato, Max Gordon, Meenal Chaudhari, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Graph Neural Network-Based Approaches for Protein Function PredictionMeenal Chaudhari, Soufia Bahmani, Pawel Pratyush, et al.
Bioinformatics (Oxford, England)|March 21, 2025
CaLMPhosKAN: prediction of general phosphorylation sites in proteins via fusion of codon aware embeddings with amino acid aware embeddings and wavelet-based Kolmogorov-Arnold networkPawel Pratyush, Callen Carrier, Suresh Pokharel, et al.
Molecular Omics|June 20, 2020
DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteinsMeenal Chaudhari, Niraj Thapa, Kaushik Roy, et al.
Journal of Proteome Research|July 17, 2023
LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language ModelSubash C Pakhrin, Suresh Pokharel, Pawel Pratyush, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 2, 2025
A Survey of Pretrained Protein Language ModelsSuresh Pokharel, Pawel Pratyush, Meenal Chaudhari, et al.
BMC Bioinformatics|April 24, 2020
DeepSuccinylSite: a deep learning based approach for protein succinylation site predictionNiraj Thapa, Meenal Chaudhari, Sean McManus, et al.
BMC Bioinformatics|August 21, 2022
Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site predictionNiraj Thapa, Meenal Chaudhari, Sean McManus, et al.
Frontiers in Cell and Developmental Biology|July 12, 2021
DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation SitesMeenal Chaudhari, Niraj Thapa, Hamid Ismail, et al.
Pageof 2