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Niksa Praljak
Niksa Praljak
PhD Candidate in Biophysics at University of Chicago
Verified email at uchicago.edu - Homepage
Title
Cited by
Cited by
Year
Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin
N Praljak, S Iram, U Goreke, G Singh, A Hill, UA Gurkan, M Hinczewski
PLOS Computational Biology 17 (11), e1008946, 2021
18*2021
Deep learning-enabled design of synthetic orthologs of a signaling protein
X Lian, N Praljak, SK Subramanian, S Wasinger, R Ranganathan, ...
bioRxiv, 2022.12. 21.521443, 2022
82022
ProtWave-VAE: Integrating autoregressive sampling with latent-based inference for data-driven protein design
N Praljak, X Lian, R Ranganathan, AL Ferguson
ACS synthetic biology 12 (12), 3544-3561, 2023
42023
Pulsatile flow through idealized renal tubules: Fluid-structure interaction and dynamic pathologies
N Praljak, SD Ryan, A Resnick
Mathematical biosciences and engineering: MBE 17 (2), 1787, 2019
42019
A Deep Learning Framework for Sickle Cell Disease Microfluidic Biomarker Assays
N Praljak, B Shipley, A Gonzales, U Goreke, S Iram, G Singh, A Hill, ...
Blood 136, 15-16, 2020
22020
Deep-learning generative models enable design of synthetic orthologs of a signaling protein
X Lian, N Praljak, AL Ferguson, R Ranganathan
Biophysical Journal 122 (3), 311a, 2023
12023
Auto-regressive WaveNet Variational Autoencoders for Alignment-free Generative Protein Design and Fitness Prediction
N Praljak, A Ferguson
ICLR2022 Machine Learning for Drug Discovery, 0
1
System, method, and computer readable storage medium for auto-regressive wavenet variational autoencoders for alignment-free generative protein design and fitness prediction
AL Ferguson, N Praljak
US Patent App. 18/176,375, 2023
2023
Classification of blood cells
N Praljak, I Shamreen, U Goreke, M Hinczewski, H Ailis, U Gurkan, ...
US Patent App. 17/928,976, 2023
2023
Investigating Heterogeneity within Sickle Cell Disease Using Deep Learning
N Praljak, S Iram, G Singh, A Hill, U Goreke, U Gurkan, M Hinczewski
Bulletin of the American Physical Society 64, 2019
2019
Pulsatile Flow Through Multi-Coupled Idealized Renal Tubules: Fluid-Structure Interaction and Dynamics Pathologies
N Praljak, A Resnick
APS March Meeting Abstracts 2019, G70. 394, 2019
2019
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Articles 1–11