Saurav Mallik
Saurav Mallik
Research Scientist, University of Arizona/Harvard University (postdoc), USA
Verified email at - Homepage
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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