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Cellular & Molecular Biology Letters
|
March 29, 2011
PPI_SVM: prediction of protein-protein interactions using machine learning, domain-domain affinities and frequency tables
Piyali Chatterjee, Subhadip Basu, Mahantapas Kundu, et al.
IEEE Transactions on Nanobioscience
|
April 7, 2023
DensePPI: A Novel Image-Based Deep Learning Method for Prediction of Protein-Protein Interactions
Aanzil Akram Halsana, Tapas Chakroborty, Anup Kumar Halder, et al.
Peerj
|
June 15, 2019
FunPred 3.0: improved protein function prediction using protein interaction network
Sovan Saha, Piyali Chatterjee, Subhadip Basu, et al.
Journal of Bioinformatics and Computational Biology
|
October 17, 2019
Protein function prediction from dynamic protein interaction network using gene expression data
Sovan Saha, Abhimanyu Prasad, Piyali Chatterjee, et al.
Plos One
|
November 27, 2023
Correction: Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology
Nirmal Das, Satadal Saha, Mita Nasipuri, et al.
Briefings in Functional Genomics
|
January 6, 2024
Computational drug repurposing for viral infectious diseases: a case study on monkeypox
Sovan Saha, Piyali Chatterjee, Mita Nasipuri, et al.
Plos One
|
June 23, 2023
Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology
Nirmal Das, Satadal Saha, Mita Nasipuri, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
July 12, 2018
3gClust: Human Protein Cluster Analysis
Anup Kumar Halder, Piyali Chatterjee, Mita Nasipuri, et al.
Briefings in Functional Genomics
|
October 14, 2017
Review of computational methods for virus-host protein interaction prediction: a case study on novel Ebola-human interactions
Anup Kumar Halder, Pritha Dutta, Mahantapas Kundu, et al.
Methods (San Diego, Calif.)
|
November 20, 2019
Aggregated network centrality shows non-random structure of genomic and proteomic networks
Anup Kumar Halder, Michał Denkiewicz, Kaustav Sengupta, et al.
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Showing results (31-40 of 72) with videos related to
Sort By:
Page
of 8
Cellular & Molecular Biology Letters
|
March 29, 2011
PPI_SVM: prediction of protein-protein interactions using machine learning, domain-domain affinities and frequency tables
Piyali Chatterjee, Subhadip Basu, Mahantapas Kundu, et al.
IEEE Transactions on Nanobioscience
|
April 7, 2023
DensePPI: A Novel Image-Based Deep Learning Method for Prediction of Protein-Protein Interactions
Aanzil Akram Halsana, Tapas Chakroborty, Anup Kumar Halder, et al.
Peerj
|
June 15, 2019
FunPred 3.0: improved protein function prediction using protein interaction network
Sovan Saha, Piyali Chatterjee, Subhadip Basu, et al.
Journal of Bioinformatics and Computational Biology
|
October 17, 2019
Protein function prediction from dynamic protein interaction network using gene expression data
Sovan Saha, Abhimanyu Prasad, Piyali Chatterjee, et al.
Plos One
|
November 27, 2023
Correction: Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology
Nirmal Das, Satadal Saha, Mita Nasipuri, et al.
Briefings in Functional Genomics
|
January 6, 2024
Computational drug repurposing for viral infectious diseases: a case study on monkeypox
Sovan Saha, Piyali Chatterjee, Mita Nasipuri, et al.
Plos One
|
June 23, 2023
Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology
Nirmal Das, Satadal Saha, Mita Nasipuri, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
July 12, 2018
3gClust: Human Protein Cluster Analysis
Anup Kumar Halder, Piyali Chatterjee, Mita Nasipuri, et al.
Briefings in Functional Genomics
|
October 14, 2017
Review of computational methods for virus-host protein interaction prediction: a case study on novel Ebola-human interactions
Anup Kumar Halder, Pritha Dutta, Mahantapas Kundu, et al.
Methods (San Diego, Calif.)
|
November 20, 2019
Aggregated network centrality shows non-random structure of genomic and proteomic networks
Anup Kumar Halder, Michał Denkiewicz, Kaustav Sengupta, et al.
Page
of 8