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Neha Periwal

Showing results (1-10 of 9) with videos related to

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BMC Bioinformatics|April 11, 2023
iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiersPooja Arora, Neha Periwal, Yash Goyal, et al.
Frontiers in Cellular and Infection Microbiology|December 15, 2022
<i>In silico</i> analysis of SARS-CoV-2 genomes: Insights from SARS encoded non-coding RNAsNeha Periwal, Urvashi Bhardwaj, Sankritya Sarma, et al.
Biochimie|April 27, 2022
A novel binary k-mer approach for classification of coding and non-coding RNAs across diverse speciesNeha Periwal, Priya Sharma, Pooja Arora, et al.
Scientific Reports|January 30, 2026
IL2Pepscan: a machine learning framework for predicting IL-2 inducing peptides and their identification across global viral proteomesPooja Arora, Rachit Abhigyan, Neha Periwal, et al.
Virus Research|August 11, 2022
Novel insights into host responses to Japanese Encephalitis Virus infection: Reanalysis of public transcriptome and microRNAome datasetsRoopali Rajput, Neha Periwal, Chitranjan Mukherjee, et al.
Frontiers in Microbiology|January 28, 2022
Replication of Dengue Virus in K562-Megakaryocytes Induces Suppression in the Accumulation of Reactive Oxygen SpeciesJaskaran Kaur, Yogita Rawat, Vikas Sood, et al.
Heliyon|September 9, 2024
Antiprotozoal peptide prediction using machine learning with effective feature selection techniquesNeha Periwal, Pooja Arora, Ananya Thakur, et al.
Journal of Biomolecular Structure & Dynamics|April 2, 2021
In silico characterization of mutations circulating in SARS-CoV-2 structural proteinsNeha Periwal, Shravan B Rathod, Ranjan Pal, et al.
Microbiology Spectrum|September 7, 2022
Time Series Analysis of SARS-CoV-2 Genomes and Correlations among Highly Prevalent MutationsNeha Periwal, Shravan B Rathod, Sankritya Sarma, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|April 11, 2023
iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiersPooja Arora, Neha Periwal, Yash Goyal, et al.
Frontiers in Cellular and Infection Microbiology|December 15, 2022
<i>In silico</i> analysis of SARS-CoV-2 genomes: Insights from SARS encoded non-coding RNAsNeha Periwal, Urvashi Bhardwaj, Sankritya Sarma, et al.
Biochimie|April 27, 2022
A novel binary k-mer approach for classification of coding and non-coding RNAs across diverse speciesNeha Periwal, Priya Sharma, Pooja Arora, et al.
Scientific Reports|January 30, 2026
IL2Pepscan: a machine learning framework for predicting IL-2 inducing peptides and their identification across global viral proteomesPooja Arora, Rachit Abhigyan, Neha Periwal, et al.
Virus Research|August 11, 2022
Novel insights into host responses to Japanese Encephalitis Virus infection: Reanalysis of public transcriptome and microRNAome datasetsRoopali Rajput, Neha Periwal, Chitranjan Mukherjee, et al.
Frontiers in Microbiology|January 28, 2022
Replication of Dengue Virus in K562-Megakaryocytes Induces Suppression in the Accumulation of Reactive Oxygen SpeciesJaskaran Kaur, Yogita Rawat, Vikas Sood, et al.
Heliyon|September 9, 2024
Antiprotozoal peptide prediction using machine learning with effective feature selection techniquesNeha Periwal, Pooja Arora, Ananya Thakur, et al.
Journal of Biomolecular Structure & Dynamics|April 2, 2021
In silico characterization of mutations circulating in SARS-CoV-2 structural proteinsNeha Periwal, Shravan B Rathod, Ranjan Pal, et al.
Microbiology Spectrum|September 7, 2022
Time Series Analysis of SARS-CoV-2 Genomes and Correlations among Highly Prevalent MutationsNeha Periwal, Shravan B Rathod, Sankritya Sarma, et al.
Pageof 1