Author

Adi Vengala Rao Patchava

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

Biography

Adi Vengala Rao Patchava has completed his PhD from Würzburg University and Post-doctoral studies from Iowa State University, Lausanne University, and Freiburg University. He held a Full-Professorship till 2005 in Oldenburg Germany, and privately continues his research on Wasteless Solid-State Chemistry (since 1984), AFM on rough surfaces (since 1988), the non-stochastic but versatile and better resolving sub-diffraction-limit microscopy for unstained non-fluorescing materials of all types (resolution
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
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