Computational techniques and pattern recognition by Rajapakse, Jagath

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Segmentation of clustered nuclei with shape markers and marking function by Rajapakse, Jagath, Cheng, Jierong

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Detecting robust time-delayed regulation in Mycobacterium tuberculosis by Chaturvedi, Iti, Rajapakse, Jagath

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SVM-RFE With MRMR Filter for Gene Selection by Mundra, Piyushkumar A., Rajapakse, Jagath

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Stability of building gene regulatory networks with sparse autoregressive models by Rajapakse, Jagath, Mundra, Piyushkumar A.

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Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks by Liu, Wenting, Rajapakse, Jagath Chandana

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Iterative consensus spectral clustering improves detection of subject and group level brain functional modules by Gupta, Sukrit, Rajapakse, Jagath Chandana

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Refining modules to determine functionally significant clusters in molecular networks by Kaalia, Rama, Rajapakse, Jagath Chandana

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Self-supervised learning for hotspot detection and isolation from thermal images by Goyal, Shreyas, Rajapakse, Jagath Chandana

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Fpga implementations of neural networks / by Ormondi, Amos R., Rajapakse, Jagath Chandana

Stability of building gene regulatory networks with sparse autoregressive models by Rajapakse Jagath C, Mundra Piyushkumar A

Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block models by Baum, Katharina, Rajapakse, Jagath Chandana, Azuaje, Francisco

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GO2Vec : transforming GO terms and proteins to vector representations via graph embeddings by Zhong, Xiaoshi, Kaalia, Rama, Rajapakse, Jagath Chandana

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Decoding task specific and task general functional architectures of the brain by Gupta, Sukrit, Lim, Marcus, Rajapakse, Jagath Chandana

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Gene ontology enrichment improves performances of functional similarity of genes by Liu, Wenting, Liu, Jianjun, Rajapakse, Jagath Chandana

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Ambivert degree identifies crucial brain functional hubs and improves detection of Alzheimer’s Disease and Autism Spectrum Disorder by Gupta, Sukrit, Rajapakse, Jagath C, Welsch, Roy E

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Comparative genomic workflow by Rajapakse, Jagath, Pooja, Chen, Chunxi, Ho, Sy-Loi

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A deep neural network approach to predicting clinical outcomes of neuroblastoma patients by Tranchevent, Léon-Charles, Azuaje, Francisco, Rajapakse, Jagath Chandana

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Ambivert degree identifies crucial brain functional hubs and improves detection of Alzheimer's Disease and Autism Spectrum Disorder by Gupta, Sukrit, Rajapakse, Jagath Chandana, Welsch, Roy E.

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Sparse deep neural network for encoding and decoding the structural connectome by Singh, Satya P., Gupta, Sukrit, Rajapakse, Jagath Chandana

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