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PubPharm (12)
1
Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data
enthalten in:
Frontiers in bioinformatics
| 2023
von
Mallik, S.
|
Seth, S.
|
Si, A.
| +2
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2
Unsupervised Feature Selection Using an Integrated Strategy of Hierarchical Clustering With Singular Value Decomposition : An Integrative Biomarker Discovery Method With Application to Acute Myeloid Leukemia
enthalten in:
IEEE/ACM transactions on computational biology and bioinformatics
| 2022
von
Bhadra, T.
|
Mallik, S.
|
Sohel, A.
| +1
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3
Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
enthalten in:
BMC bioinformatics
| 2022
von
Bhadra, T.
|
Mallik, S.
|
Hasan, N.
| +1
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4
Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
enthalten in:
BMC bioinformatics
| 2022
von
Bhadra, T.
|
Mallik, S.
|
Hasan, N.
| +1
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5
Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
enthalten in:
BMC bioinformatics
| 2022
von
Bhadra, T.
|
Mallik, S.
|
Hasan, N.
| +1
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6
Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data
enthalten in:
Frontiers in genetics
| 2022
von
Seth, S.
|
Mallik, S.
|
Bhadra, T.
| +1
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7
A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data
enthalten in:
Genes
| 2020
von
Mallik, S.
|
Seth, S.
|
Bhadra, T.
| +1
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8
DTFP-Growth : Dynamic Threshold-Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation, and Protein-Protein Interaction Profiles
enthalten in:
IEEE transactions on nanobioscience
| 2018
von
Mallik, S.
|
Bhadra, T.
|
Mukherji, A.
| +6
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9
Identifying Epigenetic Biomarkers using Maximal Relevance and Minimal Redundancy Based Feature Selection for Multi-Omics Data
enthalten in:
IEEE transactions on nanobioscience
| 2017
von
Mallik, S.
|
Bhadra, T.
|
Maulik, U.
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10
DNA methylation patterns facilitate the identification of microRNA transcription start sites : a brain-specific study
enthalten in:
PloS one
| 2013
von
Bhadra, T.
|
Bhattacharyya, M.
|
Feuerbach, L.
| +2
ErratumIn: PLoS One. 2013;8(12). doi:10.1371/annotation/dd8f4acc-3859-46e2-9136-20b6b4d08d21
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BMC bioinformatics
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Thema
9
Journal Article
4
Research Support, Non-U.S. Gov't
3
Classifier
3
Feature selection
3
Multi-omics data
3
Redundancy rate
3
Representation entropy
2
MicroRNAs
1
Biomarkers, Tumor
1
DNA methylation
1
EC 2.7.7.-
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Liner regression
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agglomerative hierarchical clustering
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cluster specified biomarkers
1
deep learning
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differentially expressed genes
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dimensionality reduction
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Erscheinungszeitraum
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2020-
5
2010-2019
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