Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sarita Poonia"'
Autor:
Smriti Chawla, Anja Rockstroh, Melanie Lehman, Ellca Ratther, Atishay Jain, Anuneet Anand, Apoorva Gupta, Namrata Bhattacharya, Sarita Poonia, Priyadarshini Rai, Nirjhar Das, Angshul Majumdar, Jayadeva, Gaurav Ahuja, Brett G. Hollier, Colleen C. Nelson, Debarka Sengupta
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Predicting treatment response in cancer remains a highly complex task. Here, the authors develop Precily, a deep neural network framework to predict treatment response in cancer by considering gene expression, pathway activity estimates and drug feat
Externí odkaz:
https://doaj.org/article/02a9dee061714a6ca6f4b672374147c3
Publikováno v:
Frontiers in Oncology, Vol 9 (2019)
Over the last decade autologous stem cell transplantation (ASCT) has emerged as the standard of care in the management of Multiple Myeloma (MM). However, the cases of early relapse (within 36 months) after the stem cell rescue remains a significant c
Externí odkaz:
https://doaj.org/article/dc1c0cf215d14c119bb09ea54187bafc
Autor:
Sarita Poonia, Anurag Goel, Smriti Chawla, Namrata Bhattacharya, Priyadarshini Rai, Yi Fang Lee, Yoon Sim Yap, Jay West, Ali Asgar Bhagat, Juhi Tayal, Anurag Mehta, Gaurav Ahuja, Angshul Majumdar, Naveen Ramalingam, Debarka Sengupta
Publikováno v:
Genome research.
The identification and characterization of circulating tumor cells (CTCs) are important for gaining insights into the biology of metastatic cancers, monitoring disease progression, and medical management of the disease. The limiting factor in the enr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5abf74ef6f50bb373f6801e316b70d6
https://pubmed.ncbi.nlm.nih.gov/36414416
https://pubmed.ncbi.nlm.nih.gov/36414416
Autor:
Priyadarshini Rai, Atishay Jain, Neha Jha, Divya Sharma, Shivani Kumar, Abhijit Raj, Apoorva Gupta, Sarita Poonia, Smriti Chawla, Angshul Majumdar, Tanmoy Chakraborty, Gaurav Ahuja, Debarka Sengupta
Dysregulation of a gene’s function, either due to mutations or impairments in regulatory networks, often triggers pathological states in the affected tissue. Comprehensive mapping of these apparent gene-pathology relationships is an ever daunting t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::512c2223609133735da92d28e9fb3686
https://doi.org/10.1101/2022.01.08.475476
https://doi.org/10.1101/2022.01.08.475476
Autor:
Priyadarshini Rai, Anja Rockstroh, B. G. Hollier, Anku Gupta, A. Anand, Debarka Sengupta, Melanie Lehman, Amita Jain, N. Das, Namrata Bhattacharya, Gaurav Ahuja, Sarita Poonia, Angshul Majumdar, Smriti Chawla, E. Rather, J. Jayadeva, Colleen C. Nelson
Inter and intra-tumoral heterogeneity are major stumbling blocks in the treatment of cancer and are responsible for imparting differential drug responses in cancer patients. Recently, the availability of large-scale drug screening datasets has provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58070440516b9bdcc064586e6c967eba
https://doi.org/10.1101/2021.11.17.468905
https://doi.org/10.1101/2021.11.17.468905
Autor:
Juhi Tayal, Priyadarshini Rai, Debarka Sengupta, Jay A. A. West, Gaurav Ahuja, Namrata Bhattacharya, Sarita Poonia, Smriti Chawla, Naveen Ramalingam, Ali Asgar S. Bhagat, Anurag Mehta, Yi Fang Lee, Yoon Sim Yap, Angshul Majumdar, Anurag Goel
The identification and characterization of circulating tumor cells (CTCs) are important for gaining insights into the biology of metastatic cancers, monitoring disease progression, and medical management of the disease. The limiting factor that hinde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f42e6dcba1795b21127a32297e1474b
https://doi.org/10.1101/2021.11.16.468747
https://doi.org/10.1101/2021.11.16.468747
Autor:
Priyadarshini Rai, Atishay Jain, Neha Jha, Divya Sharma, Shivani Kumar, Abhijit Raj, Apoorva Gupta, Sarita Poonia, Smriti Chawla, Angshul Majumdar, Tanmoy Chakraborty, Gaurav Ahuja, Debarka Sengupta
Pathomap provides a strategy to obtain an unbiased continuous representation of disease causing genes and their tissue specificity.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2474a88198dd9938d7f0ca8132a1e456