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Analyzing omics data by feature combinations based on kernel functions
J Bioinform Comput Biol. 2023 Oct 18:2350021. doi: 10.1142/S021972002350021X. Online ahead of print.ABSTRACTDefining meaningful feature (molecule) combinations can enhance the study of disease diagnosis and prognosis. However, feature combinations are complex and various in biosystems, and the existing methods examine the feature cooperation in a single, fixed pattern for all feature pairs, such as linear combination. To identify the appropriate combination between two features and evaluate feature combination more comprehensively, this paper adopts kernel functions to study feature relationships and proposes a new omics d...
Source: Journal of Bioinformatics and Computational Biology - October 18, 2023 Category: Bioinformatics Authors: Chao Li Tianxiang Wang Xiaohui Lin Source Type: research

Analyzing omics data by feature combinations based on kernel functions
J Bioinform Comput Biol. 2023 Oct 18:2350021. doi: 10.1142/S021972002350021X. Online ahead of print.ABSTRACTDefining meaningful feature (molecule) combinations can enhance the study of disease diagnosis and prognosis. However, feature combinations are complex and various in biosystems, and the existing methods examine the feature cooperation in a single, fixed pattern for all feature pairs, such as linear combination. To identify the appropriate combination between two features and evaluate feature combination more comprehensively, this paper adopts kernel functions to study feature relationships and proposes a new omics d...
Source: Journal of Bioinformatics and Computational Biology - October 18, 2023 Category: Bioinformatics Authors: Chao Li Tianxiang Wang Xiaohui Lin Source Type: research

Analyzing omics data by feature combinations based on kernel functions
J Bioinform Comput Biol. 2023 Oct 18:2350021. doi: 10.1142/S021972002350021X. Online ahead of print.ABSTRACTDefining meaningful feature (molecule) combinations can enhance the study of disease diagnosis and prognosis. However, feature combinations are complex and various in biosystems, and the existing methods examine the feature cooperation in a single, fixed pattern for all feature pairs, such as linear combination. To identify the appropriate combination between two features and evaluate feature combination more comprehensively, this paper adopts kernel functions to study feature relationships and proposes a new omics d...
Source: Journal of Bioinformatics and Computational Biology - October 18, 2023 Category: Bioinformatics Authors: Chao Li Tianxiang Wang Xiaohui Lin Source Type: research

Analyzing omics data by feature combinations based on kernel functions
J Bioinform Comput Biol. 2023 Oct 18:2350021. doi: 10.1142/S021972002350021X. Online ahead of print.ABSTRACTDefining meaningful feature (molecule) combinations can enhance the study of disease diagnosis and prognosis. However, feature combinations are complex and various in biosystems, and the existing methods examine the feature cooperation in a single, fixed pattern for all feature pairs, such as linear combination. To identify the appropriate combination between two features and evaluate feature combination more comprehensively, this paper adopts kernel functions to study feature relationships and proposes a new omics d...
Source: Journal of Bioinformatics and Computational Biology - October 18, 2023 Category: Bioinformatics Authors: Chao Li Tianxiang Wang Xiaohui Lin Source Type: research

Analyzing omics data by feature combinations based on kernel functions
J Bioinform Comput Biol. 2023 Oct 18:2350021. doi: 10.1142/S021972002350021X. Online ahead of print.ABSTRACTDefining meaningful feature (molecule) combinations can enhance the study of disease diagnosis and prognosis. However, feature combinations are complex and various in biosystems, and the existing methods examine the feature cooperation in a single, fixed pattern for all feature pairs, such as linear combination. To identify the appropriate combination between two features and evaluate feature combination more comprehensively, this paper adopts kernel functions to study feature relationships and proposes a new omics d...
Source: Journal of Bioinformatics and Computational Biology - October 18, 2023 Category: Bioinformatics Authors: Chao Li Tianxiang Wang Xiaohui Lin Source Type: research

Analyzing omics data by feature combinations based on kernel functions
J Bioinform Comput Biol. 2023 Oct 18:2350021. doi: 10.1142/S021972002350021X. Online ahead of print.ABSTRACTDefining meaningful feature (molecule) combinations can enhance the study of disease diagnosis and prognosis. However, feature combinations are complex and various in biosystems, and the existing methods examine the feature cooperation in a single, fixed pattern for all feature pairs, such as linear combination. To identify the appropriate combination between two features and evaluate feature combination more comprehensively, this paper adopts kernel functions to study feature relationships and proposes a new omics d...
Source: Journal of Bioinformatics and Computational Biology - October 18, 2023 Category: Bioinformatics Authors: Chao Li Tianxiang Wang Xiaohui Lin Source Type: research

Analyzing omics data by feature combinations based on kernel functions
J Bioinform Comput Biol. 2023 Oct 18:2350021. doi: 10.1142/S021972002350021X. Online ahead of print.ABSTRACTDefining meaningful feature (molecule) combinations can enhance the study of disease diagnosis and prognosis. However, feature combinations are complex and various in biosystems, and the existing methods examine the feature cooperation in a single, fixed pattern for all feature pairs, such as linear combination. To identify the appropriate combination between two features and evaluate feature combination more comprehensively, this paper adopts kernel functions to study feature relationships and proposes a new omics d...
Source: Journal of Bioinformatics and Computational Biology - October 18, 2023 Category: Bioinformatics Authors: Chao Li Tianxiang Wang Xiaohui Lin Source Type: research

Methods for cell-type annotation on scRNA-seq data: A recent overview
J Bioinform Comput Biol. 2023 Sep 23:2340002. doi: 10.1142/S0219720023400024. Online ahead of print.ABSTRACTThe evolution of single-cell technology is ongoing, continually generating massive amounts of data that reveal many mysteries surrounding intricate diseases. However, their drawbacks continue to constrain us. Among these, annotating cell types in single-cell gene expressions pose a substantial challenge, despite the myriad of tools at our disposal. The rapid growth in data, resources, and tools has consequently brought about significant alterations in this area over the years. In our study, we spotlight all note-wort...
Source: Journal of Bioinformatics and Computational Biology - September 24, 2023 Category: Bioinformatics Authors: Konstantinos Lazaros Panagiotis Vlamos Aristidis G Vrahatis Source Type: research

Methods for cell-type annotation on scRNA-seq data: A recent overview
J Bioinform Comput Biol. 2023 Sep 23:2340002. doi: 10.1142/S0219720023400024. Online ahead of print.ABSTRACTThe evolution of single-cell technology is ongoing, continually generating massive amounts of data that reveal many mysteries surrounding intricate diseases. However, their drawbacks continue to constrain us. Among these, annotating cell types in single-cell gene expressions pose a substantial challenge, despite the myriad of tools at our disposal. The rapid growth in data, resources, and tools has consequently brought about significant alterations in this area over the years. In our study, we spotlight all note-wort...
Source: Journal of Bioinformatics and Computational Biology - September 24, 2023 Category: Bioinformatics Authors: Konstantinos Lazaros Panagiotis Vlamos Aristidis G Vrahatis Source Type: research

Methods for cell-type annotation on scRNA-seq data: A recent overview
J Bioinform Comput Biol. 2023 Sep 23:2340002. doi: 10.1142/S0219720023400024. Online ahead of print.ABSTRACTThe evolution of single-cell technology is ongoing, continually generating massive amounts of data that reveal many mysteries surrounding intricate diseases. However, their drawbacks continue to constrain us. Among these, annotating cell types in single-cell gene expressions pose a substantial challenge, despite the myriad of tools at our disposal. The rapid growth in data, resources, and tools has consequently brought about significant alterations in this area over the years. In our study, we spotlight all note-wort...
Source: Journal of Bioinformatics and Computational Biology - September 24, 2023 Category: Bioinformatics Authors: Konstantinos Lazaros Panagiotis Vlamos Aristidis G Vrahatis Source Type: research

Methods for cell-type annotation on scRNA-seq data: A recent overview
J Bioinform Comput Biol. 2023 Sep 23:2340002. doi: 10.1142/S0219720023400024. Online ahead of print.ABSTRACTThe evolution of single-cell technology is ongoing, continually generating massive amounts of data that reveal many mysteries surrounding intricate diseases. However, their drawbacks continue to constrain us. Among these, annotating cell types in single-cell gene expressions pose a substantial challenge, despite the myriad of tools at our disposal. The rapid growth in data, resources, and tools has consequently brought about significant alterations in this area over the years. In our study, we spotlight all note-wort...
Source: Journal of Bioinformatics and Computational Biology - September 24, 2023 Category: Bioinformatics Authors: Konstantinos Lazaros Panagiotis Vlamos Aristidis G Vrahatis Source Type: research

Methods for cell-type annotation on scRNA-seq data: A recent overview
J Bioinform Comput Biol. 2023 Sep 23:2340002. doi: 10.1142/S0219720023400024. Online ahead of print.ABSTRACTThe evolution of single-cell technology is ongoing, continually generating massive amounts of data that reveal many mysteries surrounding intricate diseases. However, their drawbacks continue to constrain us. Among these, annotating cell types in single-cell gene expressions pose a substantial challenge, despite the myriad of tools at our disposal. The rapid growth in data, resources, and tools has consequently brought about significant alterations in this area over the years. In our study, we spotlight all note-wort...
Source: Journal of Bioinformatics and Computational Biology - September 24, 2023 Category: Bioinformatics Authors: Konstantinos Lazaros Panagiotis Vlamos Aristidis G Vrahatis Source Type: research

Methods for cell-type annotation on scRNA-seq data: A recent overview
J Bioinform Comput Biol. 2023 Sep 23:2340002. doi: 10.1142/S0219720023400024. Online ahead of print.ABSTRACTThe evolution of single-cell technology is ongoing, continually generating massive amounts of data that reveal many mysteries surrounding intricate diseases. However, their drawbacks continue to constrain us. Among these, annotating cell types in single-cell gene expressions pose a substantial challenge, despite the myriad of tools at our disposal. The rapid growth in data, resources, and tools has consequently brought about significant alterations in this area over the years. In our study, we spotlight all note-wort...
Source: Journal of Bioinformatics and Computational Biology - September 24, 2023 Category: Bioinformatics Authors: Konstantinos Lazaros Panagiotis Vlamos Aristidis G Vrahatis Source Type: research

Methods for cell-type annotation on scRNA-seq data: A recent overview
J Bioinform Comput Biol. 2023 Sep 23:2340002. doi: 10.1142/S0219720023400024. Online ahead of print.ABSTRACTThe evolution of single-cell technology is ongoing, continually generating massive amounts of data that reveal many mysteries surrounding intricate diseases. However, their drawbacks continue to constrain us. Among these, annotating cell types in single-cell gene expressions pose a substantial challenge, despite the myriad of tools at our disposal. The rapid growth in data, resources, and tools has consequently brought about significant alterations in this area over the years. In our study, we spotlight all note-wort...
Source: Journal of Bioinformatics and Computational Biology - September 24, 2023 Category: Bioinformatics Authors: Konstantinos Lazaros Panagiotis Vlamos Aristidis G Vrahatis Source Type: research

Methods for cell-type annotation on scRNA-seq data: A recent overview
J Bioinform Comput Biol. 2023 Sep 23:2340002. doi: 10.1142/S0219720023400024. Online ahead of print.ABSTRACTThe evolution of single-cell technology is ongoing, continually generating massive amounts of data that reveal many mysteries surrounding intricate diseases. However, their drawbacks continue to constrain us. Among these, annotating cell types in single-cell gene expressions pose a substantial challenge, despite the myriad of tools at our disposal. The rapid growth in data, resources, and tools has consequently brought about significant alterations in this area over the years. In our study, we spotlight all note-wort...
Source: Journal of Bioinformatics and Computational Biology - September 24, 2023 Category: Bioinformatics Authors: Konstantinos Lazaros Panagiotis Vlamos Aristidis G Vrahatis Source Type: research