Prof. Manolis Kellis — Research Profile
Massachusetts Institute of Technology · Department of Electrical Engineering and Computer Science
About
Prof. Manolis Kellis at Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science lists AI for Healthcare, Biomedical Systems as their registered research area.
Research keywords
Recent papers
- An integrated multi-omic atlas of the choroid plexus highlights conserved molecular programs of epithelial functionNewPreprintbioRxiv (Cold Spring Harbor Laboratory) · Oct 12
- Cross-species single-cell atlas of the striatum defines cell-type and subregion disease vulnerabilitiesCell · Sep 1
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Single-cell and spatial transcriptomics
Jure Leskovec 교수 연구실
Stanford University · Computer Science
Predicting cellular responses to perturbation across diverse contexts with StateCell · Aug 31Linda G. Griffith 교수 연구실
Massachusetts Institute of Technology · Department of Mechanical Engineering
Live-cell transcriptomics with engineered virus-like particlesCell · Sep 1Anshul Kundaje 교수 연구실
Stanford University · Computer Science
Flexible use of conserved motifs constrains genome access in cell type evolutionNature Ecology & Evolution · Sep 8
Other labs in this department
- Adam Chlipala 교수 연구실
Programming Languages, Security
- Aleksander Mądry 교수 연구실
AI and Society, Machine Learning
- Anantha Chandrakasan 교수 연구실
Machine Learning, Electronics
- Ankur Moitra 교수 연구실
Machine Learning, Theory
- Arvind Satyanarayan 교수 연구실
Machine Learning, Human-Computer Interaction
- Asu Ozdaglar 교수 연구실
AI and Society, Optimization