| Integrative approaches to reconstruct regulatory networks from multi-omics data: A review of state-of-the-art methods N Wani, K Raza Computational biology and chemistry 83, 107120, 2019 | 41 | 2019 |
| Multiple Kernel-Learning Approach for Medical Image Analysis N Wani, K Raza Soft Computing Based Medical Image Analysis, 31-47, 2018 | 27 | 2018 |
| iMTF-GRN: Integrative Matrix Tri-Factorization for Inference of Gene Regulatory Networks N Wani, K Raza IEEE Access 7, 126154-126163, 2019 | 9 | 2019 |
| Raw sequence to target gene prediction: An integrated inference pipeline for ChIP-seq and RNA-seq datasets N Wani, K Raza Applications of Artificial Intelligence Techniques in Engineering, 557-568, 2019 | 8 | 2019 |
| MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks N Wani, K Raza PeerJ Computer Science 7, e363, 2021 | 6 | 2021 |
| Modular network inference between miRNA–mRNA expression profiles using weighted co-expression network analysis N Wani, D Barh, K Raza Journal of Integrative Bioinformatics, 2021 | 5 | 2021 |
| Precision Medicine: Towards Genomics Driven Healthcare N Wani, K Raza http://csi-india.org.in/Communications/CSIC_Oct_2016.pdf 40 (7), 2016 | | 2016 |
| Connecting transcriptional regulatory networks with miRNA regulatory modules An integrative analysis of gene regulatory networks NI Wani Delhi, 0 | | |
Dr. Khalid RazaAssociate Professor of Computer Science, Jamia Millia IslamiaVerified email at jmi.ac.in
