Abstract: Systems and methods for subject clinical condition evaluation using a plurality of modules are provided. Modules comprise features whose corresponding feature values associate with an absence, presence or stage of phenotypes associated with the clinical condition. A first dataset is obtained having feature values, acquired through a first technical background from respective subjects in transcriptomic, proteomic, or metabolomic form, for at least a first of the plurality of modules. A second training dataset is obtained having feature values, acquired through a technical background other than the first technical background, from training subjects of the second dataset, in the same form as for the first dataset, of at least the first module. Inter-dataset batch effects are removed by co-normalizing feature values across the training datasets, thereby calculating co-normalized feature values used to train a classifier for clinical condition evaluation of the test subject.

Abstract: Systems and methods for determining infectious disease states are provided. An ensemble classifier is obtained using a training dataset including labels and attribute values for a plurality of genes including at least 20 genes selected from one or more of Table 1, Table 2, Table 8, and Table 9. For each of a plurality of random seeds, initial classifiers with pseudo-randomly assigned hyperparameters are binned and downsampled using evaluation scores obtained from one or more iterations of K-fold cross-validation. The ensemble classifier is formed from initial classifiers with the best score for each random seed. Infectious disease states are determined for a test subject by inputting attribute values for the plurality of genes to a trained ensemble classifier. Compositions and kits for determining infectious disease states, including amplification primers for the plurality of genes, are further provided.

Abstract: Systems and methods for subject clinical condition evaluation using a plurality of modules are provided. Modules comprise features whose corresponding feature values associate with an absence, presence or stage of phenotypes associated with the clinical condition. A first dataset is obtained having feature values, acquired through a first technical background from respective subjects in transcriptomic, proteomic, or metabolomic form, for at least a first of the plurality of modules. A second training dataset is obtained having feature values, acquired through a technical background other than the first technical background, from training subjects of the second dataset, in the same form as for the first dataset, of at least the first module. Inter-dataset batch effects are removed by co-normalizing feature values across the training datasets, thereby calculating co-normalized feature values used to train a classifier for clinical condition evaluation of the test subject.

Abstract: The present invention provides novel Secreted Epithelial Colon Stromal-1 (Secs-1) polypeptides and nucleic acid molecules encoding the same. The invention also provides selective binding agents, vectors, host cells, and methods for producing Secs-1 polypeptides. The invention further provides pharmaceutical compositions and methods for the diagnosis, treatment, amelioration, and/or prevention of diseases, disorders, and conditions associated with Secs-1 polypeptides.

Abstract: The present invention provides novel Secreted Epithelial Colon Stromal-1 (Secs-1) polypeptides and nucleic acid molecules encoding the same. The invention also provides vectors, host cells, selective binding agents, and methods for producing Secs-1 polypeptides. The invention further provides methods for the treatment, diagnosis, amelioration, or prevention of diseases associated with Secs-1 polypeptides.

Abstract: The present invention provides novel Secreted Epithelial Colon Stromal-1 (Secs-1) polypeptides and nucleic acid molecules encoding the same. The invention also provides selective binding agents, vectors, host cells, and methods for producing Secs-1 polypeptides. The invention further provides pharmaceutical compositions and methods for the diagnosis, treatment, amelioration, and/or prevention of diseases, disorders, and conditions associated with Secs-1 polypeptides.

Abstract: The present invention provides novel Secreted Epithelial Colon Stromal-1 (Secs-1) polypeptides and nucleic acid molecules encoding the same. The invention also provides vectors, host cells, selective binding agents, and methods for producing Secs-1 polypeptides. The invention further provides methods for the treatment, diagnosis, amelioration, or prevention of diseases associated with Secs-1 polypeptides.

Abstract: The present invention provides Fibroblast Growth Factor-23 (FGF-23) polypeptides and nucleic acid molecules encoding the same. The invention also provides selective binding agents, vectors, host cells, and methods for producing FGF-23 polypeptides. The invention further provides pharmaceutical compositions and methods for the diagnosis, treatment, amelioration, and/or prevention of diseases, disorders, and conditions associated with FGF-23 polypeptides.

Abstract: The present invention provides novel TNFr/OPG-like polypeptides and nucleic acid molecules encoding the same. The invention also provides vectors, host cells, antibodies, and methods for producing TNFr/OPG-like polypeptides. Also provided for are methods for the diagnosis and treatment of diseases with TNFr/OPG-like polypeptides.

Abstract: The present invention provides novel Interleukin-1 Receptor Antagonist-Like (IL-1ra-L) polypeptides and nucleic acid molecules encoding the same. The invention also provides selective binding agents, vectors, host cells, and methods for producing IL-1ra-L polypeptides. The invention further provides pharmaceutical compositions and methods for the diagnosis, treatment, amelioration, and/or prevention of diseases, disorders, and conditions associated with IL-1ra-L polypeptides.

Abstract: The present invention provides novel Interleukin-1 Receptor Antagonist-Like (IL-1ra-L) polypeptides and nucleic acid molecules encoding the same. The invention also provides selective binding agents, vectors, host cells, and methods for producing IL-1ra-L polypeptides. The invention further provides pharmaceutical compositions and methods for the diagnosis, treatment, amelioration, and/or prevention of diseases, disorders, and conditions associated with IL-1ra-L polypeptides.

Abstract: The present invention provides novel Interleukin-1 Receptor Antagonist-Like (IL-1ra-L) polypeptides and nucleic acid molecules encoding the same. The invention also provides selective binding agents, vectors, host cells, and methods for producing IL-1ra-L polypeptides. The invention further provides pharmaceutical compositions and methods for the diagnosis, treatment, amelioration, and/or prevention of diseases, disorders, and conditions associated with IL-1ra-L polypeptides.

Abstract: Disclosed is a novel gene termed ART which is expressed primarily in selected regions of the brain, as well as adrenal and lung tissues. Polypeptides encoded by ART are also disclosed, as are methods for preparing ART DNA and amino acid sequences.

Abstract: The present invention provides novel TNFr/OPG-like polypeptides and nucleic acid molecules encoding the same. The invention also provides vectors, host cells, antibodies, and methods for producing TNFr/OPG-like polypeptides. Also provided for are methods for the diagnosis and treatment of diseases with TNFr/OPG-like polypeptides.

Abstract: Disclosed is a novel gene termed ART which is expressed primarily in selected regions of the brain, as well as adrenal and lung tissues. Polypeptides encoded by ART are also disclosed, as are methods for preparing ART DNA and amino acid sequences.

Abstract: Disclosed is a novel gene termed ART which is expressed primarily in selected regions of the brain, as well as adrenal and lung tissues. Polypeptides encoded by ART are also disclosed, as are methods for preparing ART DNA and amino acid sequences.