基本信息
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Career Trajectory
Bio
Manik is broadly interested in developing novel computational techniques to understand complex and high throughput biological datasets such as CyTOF, scRNAseq and scATACseq. Currently, his projects in lab involve developing a novel clustering algorithm called Diffusion Condensation, a novel integration tool for multimodal single cell data and a multiscale visualization tool called Multiscale PHATE.
Research Interests
Papers共 26 篇Author StatisticsCo-AuthorSimilar Experts
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引用量
主题
期刊级别
合作者
合作机构
biorxiv(2023)
Manik Kuchroo,Marcello DiStasio,Eric Song,Eda Calapkulu,Le Zhang, Maryam Ige,Amar H. Sheth, Abdelilah Majdoubi,Madhvi Menon,Alexander Tong,Abhinav Godavarthi,Yu Xing,
biorxiv(2022)
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022): 5647-5651
JCI Insightno. 17 (2022)
2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP) (2021): 1-6
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Author Statistics
#Papers: 26
#Citation: 875
H-Index: 9
G-Index: 18
Sociability: 5
Diversity: 2
Activity: 37
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