Sayan Mandal, Aldo Guzmán-Sáenz, Niina Haiminen, Saugata Basu, Laxmi Parida. A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data. In Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Travis J. Wheeler, editors, Algorithms for Computational Biology - 7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13-15, 2020, Proceedings [due to COVID-19 postponed to AlCoB 2021]. Volume 12099 of Lecture Notes in Computer Science, pages 178-187, Springer, 2020. [doi]
@inproceedings{MandalGHBP20,
title = {A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data},
author = {Sayan Mandal and Aldo Guzmán-Sáenz and Niina Haiminen and Saugata Basu and Laxmi Parida},
year = {2020},
doi = {10.1007/978-3-030-42266-0_14},
url = {https://doi.org/10.1007/978-3-030-42266-0_14},
researchr = {https://researchr.org/publication/MandalGHBP20},
cites = {0},
citedby = {0},
pages = {178-187},
booktitle = {Algorithms for Computational Biology - 7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13-15, 2020, Proceedings [due to COVID-19 postponed to AlCoB 2021]},
editor = {Carlos Martín-Vide and Miguel A. Vega-Rodríguez and Travis J. Wheeler},
volume = {12099},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-42266-0},
}