Author

Probhonjon Baruah

Agency for Science, Technology and Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anders J. SkanderupiD· 2 shared Yu Amanda GuoiD· 2 shared Ahmed Abdelmoneim· 1 shared Aik Yong ChokiD· 1 shared Anna GaniD· 1 shared Avril Joy Lim· 1 shared Brenda TayiD· 1 shared Chowdhury Rafeed RahmaniD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Anders J. SkanderupORCID

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2 papers

Recent·Most cited

Fragle: Universal ctDNA quantification using deep learning of fragmentomic profiles

Guanhua Zhu, Chowdhury Rafeed Rahman, Victor Getty, Denis Odinokov, Probhonjon Baruah, Hanaé Carrié, Avril Joy Lim, Yu Amanda Guo, Zhong Wee Poh, Ngak Leng Sim, Ahmed Abdelmoneim, Yutong Cai, Lakshmi Narayanan Lakshmanan, Danliang Ho, Saranya Thangaraju, , Anders J. Skanderup

Fragle quantifies ctDNA from fragment length profiles using deep learning, showing high accuracy and improved detection limits across multiple datasets and sequencing types.

bioRxiv · Jul 28, 2023 · PreprintBioinformatics

SMuRF: Portable and accurate ensemble-based somatic variant calling

Weitai Huang, Yu Amanda Guo, Karthik Muthukumar, Probhonjon Baruah, Mei Mei Chang, Anders J. Skanderup

SMuRF improves somatic variant calling accuracy by combining multiple callers using Random Forest, working across cancer types and data types.

Bioinformatics · Jan 8, 2019Peer-reviewedBioinformatics