Author

Saad Ahmad

Indraprastha Institute of Information Technology DelhiPrimary ORCID profile (0009-0006-4817-5127 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Saad AhmadiD1 paper · State University of New York

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Rintu KutumiD· 2 shared Tavpritesh SethiiD· 2 shared Aditya NagoriiD· 1 shared Ananya TyagiiD· 1 shared Ashima Ashima· 1 shared Atharva Sune· 1 shared Ayushi GuptaiD· 1 shared Chandan Gupta· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Rintu KutumORCID

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2 papers

Recent·Most cited

Genomic Surveillance of COVID-19 Variants with Language Models and Machine Learning

Sargun Nagpal, Ridam Pal, Ashima Ashima, Ananya Tyagi, Sadhana Tripathi, Aditya Nagori, Saad Ahmad, Hara Prasad Mishra, Rishabh Malhotra, Rintu Kutum, Tavpritesh Sethi

Strainflow predicts SARS-CoV-2 variant surges using genomic data, accurately forecasting Delta and Omicron surges and India's surge two months in advance.

Frontiers in Genetics · Apr 8, 2022Peer-reviewedBioinformatics

Evaluating Sample Augmentation in Microarray Datasets with Generative Models: A Comparative Pipeline and Insights in Tuberculosis.

Ayushi Gupta, Saad Ahmad, Atharva Sune, Chandan Gupta, Harleen Kaur, Rintu Kutum, Tavpritesh Sethi

The paper evaluates generative models for sample augmentation in microarray datasets, comparing VAE, GAN, and GMM in a tuberculosis dataset to improve biomarker discovery.

bioRxiv · May 3, 2021 · PreprintGenomics