Author

Michael Michalkiewicz

Professor, Computer Sciences; Director, Computational Bioscience Research Center - Cited by 7,967 - Bioinformatics - computational biology - machine learning

Biography

Michael Michalkiewicz has graduate degrees in veterinary medicine (DVM) and physiology (PhD) from Warsaw University, Poland. He has extensive research and teaching experience in regulation of cardiovascular functions, pathophysiology of cardiovascular disease and genomic medicine Michael has collaborated with a number of international and national academic centers, including Gunma University (Japan), Free University of Brussels (Belgium), Karolinska Institute (Sweden), University of Milan (Italy), University of Wisconsin (UW) – Madison, Harvard University and Washington University (Seattle). He was an associate professor at West Virginia University and the Medical College of Wisconsin. In 2011, he joined Aurora as a Research Scientist, Senior.
Title
Cited by
Year
Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
L Xiong, K Tian, Y Li, W Ning, X Gao, QC ZhangNature communications 13 (1), 1-17, 2022202
14
2022
A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics
H Li, J Zhou, Z Li, S Chen, X Liao, B Zhang, R Zhang, Y Wang, S Sun, ...Nature Communications 14 (1), 1548, 2023202
9
2023
Applications of deep learning in understanding gene regulation
Z Li, E Gao, J Zhou, W Han, X Xu, X GaoCell Reports Methods, 2023202
4
2023
Towards improving faithfulness in abstractive summarization
X Chen, M Li, X Gao, X ZhangAdvances in Neural Information Processing Systems 35, 2516-2528, 2022202
4
2022
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
J Zhou, L Zhou, D Wang, X Xu, H Li, Y Chu, W Han, X GaomedRxiv, 2023.02. 19.22279631, 2023202
4
2023
Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors
Z Li, Y Cong, X Chen, J Qi, J Sun, T Yan, H Yang, J Liu, E Lu, L Wang, J Li, ...iScience 26 (1), 2023202
4
2023
Computational Studies of Auto-Active van der Waals Interaction Molecules on Ultra-Thin Black-Phosphorus Film
S Laref, B Wang, X Gao, T GojoboriMolecules 28 (2), 681, 20220
3
2023
NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks
K Zheng, H Zhao, Q Zhao, B Wang, X Gao, J WangBriefings in Bioinformatics 2 (5), bbac8, 2022202
3
2022
Diabetic cardiomyopathy: The role of microRNAs and long non-coding RNAs
MT Macvanin, Z Gluvic, J Radovanovic, M Essack, X Gao, ER IsenovicFrontiers in Endocrinology 4, 2463, 2023202
1
2023
Computational network analysis of host genetic risk variants of severe COVID-19
Computational network analysis of host genetic risk variants of severe COVID-9SB Alsaedi, K Mineta, X Gao, T GojoboriHuman Genomics 7 (), 7, 2023202
1
2023
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs
Q Yang, C Ma, Q Zhang, X Gao, C Zhang, X ZhangProceedings of the Sixteenth ACM International Conference on Web Search and …, 2023202
1
2023
TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides
W Zhou, Y Liu, Y Li, S Kong, W Wang, B Ding, J Han, C Mou, X Gao, J LiuPatterns 4 (3), 2023202
1
2023
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network
Y Wang, X Wang, C Chen, H Gao, A Salhi, X Gao, B YuPattern Recognition 4, 09626, 2023202
1
2023
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order
X Chen, M Li, S Gao, Z Chan, D Zhao, X Gao, X Zhang, R YanACM Transactions on Information Systems 4 (), -30, 2023202
1
2023
SkinGPT-4: An Interactive Dermatology Diagnostic System with Visual Large Language Model
J Zhou, X He, L Sun, J Xu, X Chen, Y Chu, L Zhou, X Liao, B Zhang, ...medRxiv, 2023.06. 0.232927, 2023202
1
2023
SkinGPT: A Dermatology Diagnostic System with Vision Large Language Model
J Zhou, X GaoarXiv preprint arXiv:2304.069, 2023202
1
2023
New insights on the cardiovascular effects of IGF-1
New insights on the cardiovascular effects of IGF-M Mačvanin, Z Gluvić, J Radovanović, M Essack, X Gao, ER IsenovićFrontiers in Endocrinology 4, 42644, 2023202
1
2023
scBKAP: a clustering model for single-cell RNA-seq data based on bisecting K-means
X Wang, H Gao, R Qi, R Zheng, X Gao, B YuIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022202
1
2022
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
H Orsini, H Bao, Y Zhou, X Xu, Y Han, L Yi, W Wang, X Gao, X ZhangIEEE International Conference on Big Data 2022, 2022202
1
2022
Predicting the antigenic evolution of SARS-COV-2 with deep learning
W Han, N Chen, X Xu, A Sahil, J Zhou, Z Li, H Zhong, E Gao, R Zhang, ...Nature Communications 4 (), 3478, 2023202
1
2023

Referred From: https://scholar.google.com/citations?user=wqdK8ugAAAAJ&hl=en

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Citations 7967
h-index 48
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