المؤلفون: Pradipta Behera (6564650), Krishna Kumar Singh (7871390), Subhendu Pandit (3336081), Diptarka Saha (5854556), Deepak Kumar Saini (9990008), Mrinmoy De (1318647)

مصطلحات موضوعية: Biochemistry, Molecular Biology, Biotechnology, Cancer, Plant Biology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, biomarker proteins, detection limit, sensor array, Functionalized MoS 2 Nanosheets, 1 nM, Pattern-based detection, machine Learning-Assisted Array-Bas., Protein Conjugates, serum media, surface-to-volume ratio, 50 nM concentration, Two-dimensional MoS 2, signal transducer, affinity-regulated receptors, Easy surface tunability, pattern recognition problem, GFP

Relation: https://figshare.com/articles/journal_contribution/Machine_Learning-Assisted_Array-Based_Detection_of_Proteins_in_Serum_Using_Functionalized_MoS_sub_2_sub_Nanosheets_and_Green_Fluorescent_Protein_Conjugates/14368363

الاتاحة: https://doi.org/10.1021/acsanm.1c00244.s001

المؤلفون: Diptarka Saha, Debanjana Banerjee, Bodhisattwa Prasad Majumder

مصطلحات موضوعية: Clustering, Relative KNN – kernel density, Varying density clusters, Anomaly Detection, DBSCAN

Relation: https://doi.org/10.5121/csit.2018.81303; oai:zenodo.org:1456275

الاتاحة: https://doi.org/10.5121/csit.2018.81303

المؤلفون: Krishna Kumar Singh, Deepak Kumar Saini, Pradipta Behera, Diptarka Saha, Subhendu Pandit, Mrinmoy De

المصدر: ACS Applied Nano Materials

مصطلحات موضوعية: Specific protein, Analyte, Chemistry, pattern recognition, Article, Green fluorescent protein, Biomarker, two-dimensional MoS2, machine learning, Biochemistry, protein sensing, General Materials Science, array-based sensing, Conjugate

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d569c467cbdf25c35336d5e2b518660
https://doi.org/10.1021/acsanm.1c00244

المؤلفون: Bodhisattwa Prasad Majumder, Diptarka Saha, Debanjana Banerjee

مصطلحات موضوعية: Relative KNN – kernel density, business.industry, Computer science, Pattern recognition, DBSCAN, Clustering, ComputingMethodologies_PATTERNRECOGNITION, Anomaly Detection, Relative density, Anomaly detection, Varying density clusters, Artificial intelligence, Cluster analysis, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c310f33c31da76c3d309a9cddc4c2790