Follow
Koushik Mallick
Koushik Mallick
RCCIIT
Verified email at rcciit.org.in - Homepage
Title
Cited by
Cited by
Year
A new feature vector based on gene ontology terms for protein-protein interaction prediction
S Bandyopadhyay, K Mallick
IEEE/ACM transactions on computational biology and bioinformatics 14 (4 …, 2016
472016
A new path based hybrid measure for gene ontology similarity
S Bandyopadhyay, K Mallick
IEEE/ACM transactions on computational biology and bioinformatics 11 (1 …, 2013
472013
Topo2vec: A novel node embedding generation based on network topology for link prediction
K Mallick, S Bandyopadhyay, S Chakraborty, R Choudhuri, S Bose
IEEE Transactions on Computational Social Systems 6 (6), 1306-1317, 2019
192019
Recent advancements in computational drug design algorithms through machine learning and optimization
S Choudhuri, M Yendluri, S Poddar, A Li, K Mallick, S Mallik, B Ghosh
Kinases and Phosphatases 1 (2), 117-140, 2023
102023
A Novel Graph Topology-Based GO-Similarity Measure for Signature Detection From Multi-Omics Data and its Application to Other Problems
K Mallick, S Mallik, S Bandyopadhyay, S Chakraborty
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2020
92020
Uncorrelated local maximum margin criterion: An efficient dimensionality reduction method for text classification
K Mallick, S Bhattacharyya
Procedia Technology 4, 370-374, 2012
72012
A scalable unsupervised learning of scRNAseq data detects rare cells through integration of structure-preserving embedding, clustering and outlier detection
K Mallick, S Chakraborty, S Mallik, S Bandyopadhyay
Briefings in Bioinformatics 24 (3), bbad125, 2023
12023
k-Context Technique: A Method for Identifying Dense Subgraphs in a Heterogeneous Information Network......................................................... D. Barman, S …
J Xiao, C Wang, XK Xu, RN Almeida, N David, K Mallick, ...
A New Path Based Hybrid Measurefor Gene Ontology Similarity
S Bandyopadhyay, K Mallick
The system can't perform the operation now. Try again later.
Articles 1–9