Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alakto Choudhury"'
Autor:
Priyansh Srivastava, Alakto Choudhury, Mehak Talwar, Sabyasachi Mohanty, Priyanka Narad, Abhishek Sengupta
Publikováno v:
PeerJ, Vol 8, p e9119 (2020)
Vitiligo is a chronic asymptomatic disorder affecting melanocytes from the basal layer of the epidermis which leads to a patchy loss of skin color. Even though it is one of the neglected disease conditions, people suffering from vitiligo are more pro
Externí odkaz:
https://doaj.org/article/0b2871e5576145bcb2e4ad8f2decd405
Autor:
Priyanka Narad, Alakto Choudhury, Samuel Bharti, Parul Chugh, Abhishek Sengupta, Seema Bhatnagar
The outbreak of COVID-19 had spread at a deadly rate since its onset at Wuhan, China and is now spread across 216 countries and has affected more than 6 million people all over the world. The global response throughout the world has been primarily th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2512c882f62a17574e39ac6f2ab19bf2
https://doi.org/10.1101/2020.06.02.20120360
https://doi.org/10.1101/2020.06.02.20120360
Autor:
Priyanka Narad, Alakto Choudhury, Mehak Talwar, Sabyasachi Mohanty, Abhishek Sengupta, Priyansh Srivastava
Publikováno v:
PeerJ, Vol 8, p e9119 (2020)
PeerJ
PeerJ
Vitiligo is a chronic asymptomatic disorder affecting melanocytes from the basal layer of the epidermis which leads to a patchy loss of skin color. Even though it is one of the neglected disease conditions, people suffering from vitiligo are more pro
Autor:
P, Preeti, Riyaz, Azeen, Choudhury, Alakto, Choudhury, Priyanka Ray, Pradhan, Nischal, Singh, Abhishek, Nakul, Mihir, Dudeja, Chhavi, Yadav, Abhijeet, Nath, Swarsat Kaushik, Khanna, Vrinda, Sharma, Trapti, Pradhan, Gayatri, Takkar, Simran, Rawal, Kamal
Publikováno v:
Journal of Computational Biology; Jul2024, Vol. 31 Issue 7, p651-669, 19p
Autor:
Srivastava, Priyansh, Choudhury, Alakto, Talwar, Mehak, Mohanty, Sabyasachi, Narad, Priyanka, Sengupta, Abhishek
Publikováno v:
PeerJ; May2020, p1-14, 14p
Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductiv
This book provides insight into the transformative impact of data-driven approaches on reproductive health. Chapters cover a wealth of intricate algorithms of genomic analysis, predictive modeling, and personalized treatment strategies, providing an