Journal Club Schedule

Machine Learning

For 2022-2023, the meetings will be held on every alternate Friday from 3 PM to 4 PM.

Machine Learning
	Speaker	Date	Paper/Title	Room
1	Wan, Shibiao	12/02/2022	Robust integration of multiple single-cell RNA sequencing datasets using a single reference space	1005
2	Shakyawar, Sushil	12/16/2022	NEMO: cancer subtyping by integration of partial multi-omic data	6003
3	Patel, Jai	1/13/2023	Deep learning-based ovarian cancer subtypes identification using multi-omics data	6003
4	Chakraborty, Rajashree	2/10/2023	Depression and suicide risk prediction models using blood-derived multi-omics data	6003
5	Sethi, Sahil	2/24/2023	Comparing machine learning algorithms for predicting COVID-19 mortality	6003
6	Guda, Babu	3/10/2023	Leveraging explainable AI for gut microbiome-based colorectal cancer classification	6003
7	Goonesekere, Nalin	3/24/2023	Deep graph representations embed network information for robust disease marker identification	6003
8	Sajja, Balasrinivasa	4/7/2023	Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography \| Journal of Clinical Oncology (ascopubs.org)	6003
9	Avuthu, Nagavardhini	4/21/2023	Multimodal deep learning applied to classify healthy and disease states of human microbiome	6003
10	Jagadesan, Sankarasubramanian	5/19/2023	Massive metagenomic data analysis using abundance-based machine learning	6003
11	Manavalan, Sujith	06/02/2023	Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences	6003