| A survey and comparative study of statistical tests for identifying differential expression from microarray data S Bandyopadhyay, S Mallik, A Mukhopadhyay Computational Biology and Bioinformatics, IEEE/ACM Transactions on 11 (1 …, 2014 | 128 | 2014 |
| The HIV Nef protein modulates cellular and exosomal miRNA profiles in human monocytic cells M Aqil, AR Naqvi, S Mallik, S Bandyopadhyay, U Maulik, S Jameel Journal of extracellular vesicles 3 (1), 23129, 2014 | 97 | 2014 |
| An evaluation of supervised methods for identifying differentially methylated regions in Illumina methylation arrays S Mallik, GJ Odom, Z Gao, L Gomez, X Chen, L Wang Briefings in bioinformatics 20 (6), 2224-2235, 2019 | 90 | 2019 |
| Explanation-driven deep learning model for prediction of brain tumour status using MRI image data L Gaur, M Bhandari, T Razdan, S Mallik, Z Zhao Frontiers in genetics 13, 822666, 2022 | 79 | 2022 |
| RANWAR: Rank-Based Weighted Association Rule Mining from Gene Expression and Methylation Data S Mallik, U Maulik, A Mukhopadhyay IEEE nanobioscience 14 (1), 59-66, 2015 | 77 | 2015 |
| Machine learning-based optimal crop selection system in smart agriculture S Rani, AK Mishra, A Kataria, S Mallik, H Qin Scientific Reports 13 (1), 15997, 2023 | 62 | 2023 |
| MicroRNA and transcription factor co-regulatory networks and subtype classification of seminoma and non-seminoma in testicular germ cell tumors G Qin, S Mallik, R Mitra, A Li, P Jia, CM Eischen, Z Zhao Scientific Reports 10 (1), 852, 2020 | 52 | 2020 |
| Identifying epigenetic biomarkers using maximal relevance and minimal redundancy based feature selection for multi-omics data S Mallik, T Bhadra, U Maulik IEEE Transactions on Nanobioscience 16 (1), 3-10, 2017 | 46 | 2017 |
| Transcriptomic Analysis of mRNAs in Human Monocytic Cells Expressing the HIV-1 Nef Protein and Their Exosomes M Aqil, S Mallik, S Bandyopadhyay, U Maulik, S Jameel BioMed Research International 2015, 492395, 2015 | 45 | 2015 |
| Analyzing Gene Expression and Methylation Data Profiles using StatBicRM: Statistical Biclustering-based Rule Mining U Maulik, S Mallik, A Mukhopadhyay, S Bandyopadhyay PLoS One 10 (4), e0119448, 2015 | 44 | 2015 |
| Graph-and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data S Mallik, Z Zhao Briefings in bioinformatics 21 (2), 368-394, 2020 | 42 | 2020 |
| Integrated analysis of gene expression and genome-wide DNA methylation for tumor prediction: An association rule mining-based approach S Mallik, A Mukhopadhyay, U Maulik, S Bandyopadhyay Computational Intelligence in Bioinformatics and Computational Biology …, 2013 | 40 | 2013 |
| Critical microRNAs and regulatory motifs in cleft palate identified by a conserved miRNA–TF–gene network approach in humans and mice A Li, P Jia, S Mallik, R Fei, H Yoshioka, A Suzuki, J Iwata, Z Zhao Briefings in bioinformatics 21 (4), 1465-1478, 2020 | 37 | 2020 |
| Autism detection of mri brain images using hybrid deep cnn with dm-resnet classifier S Jain, HK Tripathy, S Mallik, H Qin, Y Shaalan, K Shaalan IEEE Access, 2023 | 32 | 2023 |
| An ensemble-based deep convolutional neural network for computer-aided polyps identification from colonoscopy P Sharma, BK Balabantaray, K Bora, S Mallik, K Kasugai, Z Zhao Frontiers in Genetics 13, 844391, 2022 | 31 | 2022 |
| Integrating multiple data sources for combinatorial marker discovery: A study in tumorigenesis S Bandyopadhyay, S Mallik IEEE/ACM Transactions on Computational Biology and Bioinformatics 15 (2 …, 2016 | 30 | 2016 |
| H19, a long non-coding RNA, mediates transcription factors and target genes through interference of microRNAs in pan-cancer A Li, S Mallik, H Luo, P Jia, DF Lee, Z Zhao Molecular Therapy-Nucleic Acids 21, 180-191, 2020 | 29 | 2020 |
| Identification of multiview gene modules using mutual information-based hypograph mining T Bhadra, S Mallik, S Bandyopadhyay IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (6), 1119-1130, 2017 | 29 | 2017 |
| MiRNA-TF-Gene Network Analysis through Ranking of Biomolecules for Multi-Informative Uterine Leiomyoma Dataset S Mallik, U Maulik Journal of Biomedical Informatics 57, 308-319, 2015 | 27 | 2015 |
| A linear regression and deep learning approach for detecting reliable genetic alterations in cancer using dna methylation and gene expression data S Mallik, S Seth, T Bhadra, Z Zhao Genes 11 (8), 931, 2020 | 25 | 2020 |
Zhongming ZhaoUniversity of Texas Health Science Center at Houston在 uth.tmc.edu 的电子邮件经过验证
