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A Deeplearning Model For Quantifying Circulating Tumour Dna From The Density Distribution Of Dnafragment Lengths 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

  • SKU: BELL-239917480
A Deeplearning Model For Quantifying Circulating Tumour Dna From The Density Distribution Of Dnafragment Lengths 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
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A Deeplearning Model For Quantifying Circulating Tumour Dna From The Density Distribution Of Dnafragment Lengths 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 instant download after payment.

Publisher: x
File Extension: PDF
File size: 4.79 MB
Author: 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 &...
Language: English
Year: 2025

Product desciption

A Deeplearning Model For Quantifying Circulating Tumour Dna From The Density Distribution Of Dnafragment Lengths 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 by 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 &... instant download after payment.

Nature Biomedical Engineering, doi:10.1038/s41551-025-01370-3

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