Zobrazeno 1 - 10
of 642
pro vyhledávání: '"Bani K"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Recent technologies such as spatial transcriptomics, enable the measurement of gene expressions at the single-cell level along with the spatial locations of these cells in the tissue. Spatial clustering of the cells provides valuable insight
Externí odkaz:
https://doaj.org/article/7e44251be95743caa3bb6d5f0da37553
Autor:
Bowen Lei, Tanner Quinn Kirk, Anirban Bhattacharya, Debdeep Pati, Xiaoning Qian, Raymundo Arroyave, Bani K. Mallick
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-12 (2021)
Abstract Bayesian optimization (BO) is an indispensable tool to optimize objective functions that either do not have known functional forms or are expensive to evaluate. Currently, optimal experimental design is always conducted within the workflow o
Externí odkaz:
https://doaj.org/article/9f2f69e1532d4345b0eb8216ac8fc446
Autor:
Chakraborty, Antik, Walsh, Jonelle B., Strigari, Louis, Mallick, Bani K., Bhattacharya, Anirban
The orbital superposition method originally developed by Schwarzschild (1979) is used to study the dynamics of growth of a black hole and its host galaxy, and has uncovered new relationships between the galaxy's global characteristics. Scientists are
Externí odkaz:
http://arxiv.org/abs/2404.03152
Publikováno v:
ACS Omega, Vol 5, Iss 26, Pp 16128-16138 (2020)
Externí odkaz:
https://doaj.org/article/ba78fd4ff9fa49ab85686b8d6530ce61
Autor:
Kahkashan Afrin, Ashif S Iquebal, Mostafa Karimi, Allyson Souris, Se Yoon Lee, Bani K Mallick
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0238996 (2020)
Recent developments in high-throughput methods have resulted in the collection of high-dimensional data types from multiple sources and technologies that measure distinct yet complementary information. Integrated clustering of such multiple data type
Externí odkaz:
https://doaj.org/article/35d88abfd37b45cf96965cb712c8be5c
Publikováno v:
Cancer Informatics, Vol 18 (2019)
Long non-coding RNAs (lncRNAs) are a large and diverse class of transcribed RNAs, which have been shown to play a significant role in developing cancer. In this study, we apply integrative modeling framework to integrate the DNA copy number variation
Externí odkaz:
https://doaj.org/article/bfa2e436d87a48709f905fc86ca68219
Thompson sampling (TS) is one of the most popular and earliest algorithms to solve stochastic multi-armed bandit problems. We consider a variant of TS, named $\alpha$-TS, where we use a fractional or $\alpha$-posterior ($\alpha\in(0,1)$) instead of t
Externí odkaz:
http://arxiv.org/abs/2309.06349
In a traditional Gaussian graphical model, data homogeneity is routinely assumed with no extra variables affecting the conditional independence. In modern genomic datasets, there is an abundance of auxiliary information, which often gets under-utiliz
Externí odkaz:
http://arxiv.org/abs/2308.07806
Bayesian variable selection with graphical structure learning: Applications in integrative genomics.
Autor:
Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0195070 (2018)
Significant advances in biotechnology have allowed for simultaneous measurement of molecular data across multiple genomic, epigenomic and transcriptomic levels from a single tumor/patient sample. This has motivated systematic data-driven approaches t
Externí odkaz:
https://doaj.org/article/95253fa6929948c39ede4e17ee05d449
Single-cell RNA-sequencing technologies may provide valuable insights to the understanding of the composition of different cell types and their functions within a tissue. Recent technologies such as spatial transcriptomics, enable the measurement of
Externí odkaz:
http://arxiv.org/abs/2305.08239