摘要:
The present invention provides non-small cell lung cancer markers and the use thereof in diagnosing and monitoring diseases in vitro. The non-small cell lung cancer markers include at least one of the 26 selected detectable mature microRNAs existing stably in human serum or plasma. The invention also provides probe combinations, a kit and biochip for detecting the non-small cell lung cancer markers. The invention further provides a method for detecting the said lung cancer markers. The method in the present invention enables extensive detection spectrum, high sensitivity, low cost, convenient sample taking and preservation. The method can be applied in the general survey of disease, solves problems of the low specificity and sensitivity encountered with previous single markers, and increases significantly the clinical detection rate of diseases; it forms an effective means for diagnosing diseases at an early stage.
摘要:
This invention provides a combination of microRNAs for evaluating the physiological and/or pathological condition of a subject, wherein the combination comprises all detectable microRNAs stably existing in the serum/plasma of a subject; and a method for evaluating the physiological and/or pathological condition of a subject, wherein the method includes determining all detectable microRNAs stably existing in the serum/plasma of a subject; and a kit for evaluating the physiological and/or pathological condition of a subject, wherein the kit contains the tools for determining all detectable microRNAs that stably existing in the serum/plasma of a subject; and a biochip for evaluating the physiological and/or pathological condition of a subject, wherein the biochip contains the components for determining all detectable microRNAs stably existing in the serum/plasma of a subject. The aforementioned combination, method, kit and biochip can be used for diagnosis as well as differentially diagnosis of diseases including various tumors; various acute/chronic infectious diseases, e.g. viral diseases such as viral influenza, viral hepatitis, AIDS, SARS, bacterial diseases such as tuberculosis, bacterial pneumonia, and other acute/chronic infectious diseases caused by various pathogenic microorganisms; other acute/chronic diseases such as diseases of respiratory system, diseases of immune system, diseases of blood and hematopoietic system, diseases of circulatory system such as cardio-cerebrovascular diseases, metabolic diseases of endocrine system, diseases of digestive system, diseases of nervous system, diseases of urinary system, diseases of reproductive system and diseases of locomotor system, prediction of complications occurrence and malignant diseases relapse, evaluation of therapeutic effects, screening of pharmaceutical active ingredients, assessment of drug efficacy as well as forensic authentication and prohibited drug inspection and the like, possessing a number of advantages such as extensive detection spectrum, high sensitivity, low cost, convenience for sampling, ease for sample preservation, etc. The said method can be widely used in work related to general survey of diseases and so on, improve the low-specificity and low-sensitivity caused by individual differences which single markers are difficult to overcome, significantly increasing the clinical detection rate of diseases, all of which make it become an effective means for diagnosing diseases in an early phase.
摘要:
Disclosed are standardized reference genes for microRNAs and the use thereof. The reference gene is microRNA let-7d, let-7g, let-7i or a combination thereof. The reference genes have extremely high stability and accuracy compared to the currently most commonly used reference genes in microRNA quantitation.
摘要:
Disclosed are standardized reference genes for microRNAs and the use thereof. The reference gene is microRNA let-7d, let-7g, let-7i or a combination thereof. The reference genes have extremely high stability and accuracy compared to the currently most commonly used reference genes in microRNA quantitation.
摘要:
The present invention provides non-small cell lung cancer markers and the use thereof. The non-small cell lung cancer markers in the present invention include at least one of the 26 selected detectable mature microRNAs existing stably in human serum or plasma. The invention also provides a probe combination, kit and biochip for detecting the non-small cell lung cancer markers. The invention further provides a method for detecting microRNAs in the serum of lung cancer patients. By detecting the variations of microRNAs in the serum of lung cancer patients, the disease can be diagnosed in vitro; the progression course of the disease can be predicted; the occurrence of complications, the rate of relapse and the prognosis of the disease can be monitored; the drug efficacy and therapeutic effects can be analyzed. The method in the present invention enables extensive detection spectrum, high sensitivity, low cost, convenient sample taking and preservation. The method can be applied in the general survey of disease, solves problems of the low specificity and sensitivity encountered with previous single markers, and increases significantly the clinical detection rate of diseases, all of which make it an effective means for diagnosing diseases at an early stage.
摘要:
An input method editor (IME) provides a distributed platform architecture that enables associating multiple applications with the IME to provide extended functionalities. The presentations of the applications, such as skins, may be different from each other and that of the IME. The applications may be represented in a manifest file that is human-readable and editable. The IME collects multiple parameters relating to a user input into a host application including a query input by the user and a scenario of the host application, and selects one or more applications to provide candidates based on a score or ranking of the applications under the collected multiple parameters. Machine-learning may be used to improve the score or ranking. The candidates may include text candidates, rich candidates, and informative candidates.
摘要:
Some implementations provide techniques and arrangements for semantic lexicon based processing, such as in an input method editor. In some instances, a semantic label may be received that is to be defined for a semantic lexicon and at least a first term may be identified as a positive or negative example of the semantic label. In response, some examples may label at least a second term in the semantic lexicon with the semantic label based at least in part on the identification of the first term as a positive or negative example of the semantic label.
摘要:
An input method editor (IME) provides a distributed platform architecture that enables associating multiple applications with the IME to provide extended functionalities. The presentations of the applications, such as skins, may be different from each other and that of the IME. The applications may be represented in a manifest file that is human-readable and editable. The IME collects multiple parameters relating to a user input into a host application including a query input by the user and a scenario of the host application, and selects one or more applications to provide candidates based on a score or ranking of the applications under the collected multiple parameters. Machine-learning may be used to improve the score or ranking. The candidates may include text candidates, rich candidates, and informative candidates.
摘要:
Some implementations provide techniques and arrangements for semantic lexicon based processing, such as in an input method editor. In some instances, a semantic label may be received that is to be defined for a semantic lexicon and at least a first term may be identified as a positive or negative example of the semantic label. In response, some examples may label at least a second term in the semantic lexicon with the semantic label based at least in part on the identification of the first term as a positive or negative example of the semantic label.
摘要:
Some examples include generating a personal language model based on linguistic characteristics of one or more files stored at one or more locations in a file system. Further, some implementations include predicting and presenting a non-Latin character string based at least in part on the personal language model, such as in response to receiving a Latin character string via an input method editor interface.