Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Priyadarshini Rai"'
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:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19:624-632
Single-cell RNA-sequencing has been proved to be advantageous in discerning molecular heterogeneity in seemingly similar cells in a tissue. Due to the paucity of starting RNA, a large fraction of transcripts fail to amplify during the polymerase chai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbfad2e2cac87c1884163d19b9b91d07
https://doi.org/10.1109/tcbb.2020.2997326
https://doi.org/10.1109/tcbb.2020.2997326
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
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030638221
ICONIP (5)
ICONIP (5)
The importance of clustering the single-cell RNA sequence is well known. Traditional clustering techniques (GiniClust, Seurat, etc.) have mostly been used to address this problem. This is the first work that develops a deep dictionary learning-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::047212a502498462affbbd3c2c7839aa
https://doi.org/10.1007/978-3-030-63823-8_8
https://doi.org/10.1007/978-3-030-63823-8_8
Autor:
Madasu Hanmandlu, Priyadarshini Rai
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811004476
SocProS (1)
SocProS (1)
This paper presents the Gaussian function-based particle swarm optimization (PSO) algorithm. In canonical PSO, potential solutions, called particles, are randomly initialized in the beginning. The proposed method uses the solutions of another evoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6549fdccfdd8738982fe794250f92b6
https://doi.org/10.1007/978-981-10-0448-3_5
https://doi.org/10.1007/978-981-10-0448-3_5
Autor:
Priyadarshini Rai, Madasu Hanmandlu
Publikováno v:
Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 1; 2016, p57-67, 11p