Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining whether to select a patient, e.g., to receive a drug that targets a target gene. In one aspect, a method comprises: obtaining gene expression data for a collection of cells from a patient; processing a model input comprising the gene expression data using a machine learning model, in accordance with values of a set of machine learning model parameters, to generate a predicted gene essentiality score for the target gene; and determining whether to select the patient based at least in part on the predicted gene essentiality score for the target gene.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Described herein are methods such as multi-omics methods for assessing a disease. The multi-omics methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. Also described herein are multi-omics databases and methods of using them.

Abstract: Described herein are methods for screening for a disease state. The method may include obtaining multiple data sets and identifying the disease state based on a combination of the data sets. The data sets may include biomolecule measurements obtained by multiple methods, such as through the use of particles and reference biomolecules.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: The present application relates to a respiratory syncytial virus subtype A (RSV-A) recombinant F protein, a polynucleotide encoding the RSV-A recombinant F protein, a nucleic acid construct comprising the polynucleotide, an expression vector comprising the nucleic acid construct, a host cell into which the polynucleotide, the nucleic acid construct, or the expression vector is transformed or transfected, a stabilized trimer formed from the RSV-A recombinant F protein, an immunogenic composition comprising any of the foregoing, and use of any of the forgoing in the preparation of a vaccine for the prevention and/or treatment of respiratory syncytial virus infections. The RSV-A recombinant F protein comprises at least one epitope specific to the pre-fusion F protein, and can form a stable, pre-fusion conformation of F protein trimer. Furthermore, the RSV-A recombinant F protein can be expressed stably in a uniform form and with a significantly increased yield.

Abstract: The present application relates to a respiratory syncytial virus subtype B (RSV-B) recombinant F protein, a polynucleotide encoding the RSV-B recombinant F protein, a nucleic acid construct comprising the polynucleotide, an expression vector comprising the nucleic acid construct, a host cell into which the polynucleotide, the nucleic acid construct, or the expression vector is transformed or transfected, a stabilized trimer formed from the RSV-B recombinant F protein, an immunogenic composition comprising any of the foregoing, and use of any of the forgoing in the preparation of a vaccine for the prevention and/or treatment of respiratory syncytial virus infections. The RSV-B recombinant F protein comprises at least one epitope specific to the pre-fusion F protein, and can form a stable, pre-fusion conformation of F protein trimer. Furthermore, the RSV-B recombinant F protein can be expressed stably in a uniform form and with a significantly increased yield.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Described herein are methods for screening for a disease state. The method may include obtaining multiple data sets and identifying the disease state based on a combination of the data sets. The data sets may include biomolecule measurements obtained by multiple methods, such as through the use of particles and reference biomolecules.

Abstract: Described herein are methods for screening for a disease state. The method may include obtaining multiple data sets, and identifying the disease state based on a combination of the data sets. The data sets may include biomolecule measurements obtained by multiple methods, such as through the use of particles and reference biomolecules.

Abstract: A method for splitting operators, a device for splitting operators and a non-transitory computer readable storage medium are provided. The method includes: S1: obtaining buffer information required by target operators; and S2: splitting the target operators to obtain a splitting result of the target operators, and obtaining a storage layout of the target operators in the first memory, based on the buffer information required by the target operators and a storage capacity of the first memory; the splitting result of the target operators and the storage layout of the target operators are used to implement a mapping of a target artificial intelligence model to an artificial intelligence hardware accelerator.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Described herein are methods for screening for a disease state. The method may include obtaining multiple data sets, and identifying the disease state based on a combination of the data sets. The data sets may include biomolecule measurements obtained by multiple methods, such as through the use of particles and reference biomolecules.

Abstract: Described herein are methods for screening for a disease state. The method may include obtaining multiple data sets, and identifying the disease state based on a combination of the data sets. The data sets may include biomolecule measurements obtained by multiple methods, such as through the use of particles and reference biomolecules.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Provided is a network resource provisioning method for bandwidth guarantee per flow in a differentiated service Internet in which bandwidth needed for each flow is individually requested. The method comprises setting an optimum path between a source node and a destination node based on a request for traffic for a specific period of time; performing static provisioning in which bandwidth is allocated to the optimum path according to a service class thereof; determining whether all of the bandwidth allocated to the optimum path by performing static provisioning are used up, and accepting connection admission according to the determination result; and when connection admission is not accepted, performing dynamic provisioning in which additional bandwidth is allocated to the optimum path based on a request for traffic from a new incoming flow. Accordingly, it is possible to efficiently provide a quality-guaranteed service by accepting a request for bandwidth per flow.

Abstract: In the adaptive connection admission control method of the present invention, a corresponding ingress edge node performs connection admission control for a new connection within the amount of bandwidth initially allocated to each of paths between the ingress and egress edge nodes. The amount of remaining bandwidth allocated to a specific path Pr is compared with an amount of bandwidth required for a call requesting new connection setup input to the corresponding ingress edge node. The amount of additional bandwidth to be requested from the bandwidth broker is predicted when the amount of the remaining bandwidth does not satisfy the amount of bandwidth required for the connection setup requesting call. The ingress edge node requests additional bandwidth from the bandwidth broker on the basis of the predicted amount of the additional bandwidth, changing bandwidth information of the corresponding path Pr, and performing connection admission control.