Abstract: A method for determining a plant growth curve includes obtaining color images and depth images of a plant to be detected at different time points, performing alignment processing on each color image and each depth image to obtain an alignment image, detecting the color image through a pre-trained target detection model to obtain a target bounding box, calculating an area ratio of the target bounding box in the color image, determining a depth value of all pixel points in the target boundary frame according to the aligned image, performing denoising processing on each depth value to obtain a target depth value, generating a first growth curve of the plant to be detected according to the target depth values and corresponding time points, and generating a second growth curve of the plant to be detected according to the area ratios and the corresponding time points.

Abstract: A method for determining a height of a plant, an electronic device, and a storage medium are disclosed. In the method, a target image is obtained by mapping an obtained color image with an obtained depth image. The electronic device processes the color image by using a pre-trained mobilenet-ssd network, obtains a detection box appearance of the plant, and extracts target contours of the plant to be detected from the detection box. The electronic device determines a depth value of each of pixel points in the target contour according to the target image. Target depth values are obtained by performing a de-noising on depth values of the pixel points, and a height of the plant to be detected is determined according to the target depth value. The method improves accuracy of height determination of a plant.

Abstract: The present invention provides a method for identifying radiation induced genes and long non-coding RNAs and its application thereof, the method comprises the steps of: (1). Provide expression values of genes and long non-coding RNAs; (2). Execute weighted gene correlation network analysis (WGCNA) by a computer system to calculate Pearson correlation coefficients of pairs of the genes and long non-coding RNAs based on the expression values of the genes and long non-coding RNAs; and (3). Perform a screening step by the computer system to identify radiation induced genes and long non-coding RNAs based on the Pearson correlation coefficients of the pairs of the genes and long non-coding RNAs with a value more than 0.75.

Abstract: A drug combination prediction method comprising: storing a plurality of original gene sets, at least one first gene impacted by a first drug and at least one second gene impacted by a second drug; determining the part of the at least one first gene and the part of the at least one second gene to be a first interaction gene set; calculating a gene amount of the first interaction gene set to obtain a first interaction gene amount, and calculating a first percentage generated by the first interaction gene amount in the first original gene set; calculating an interaction value of the combination of the first drug and the second drug according to the first percentage; and selecting at least one synergistic pharmaceutical composition according to the interaction value.

Abstract: The invention is directed to a method to predict prognostic results for diseases including acute myeloid leukemia (AML) by analyzing novel markers which comprises microRNA/mRNA (miRNA/mRNA) pairings. In particular, the miRNA/mRNA pairings are a kind of NPM1 mutation-modulated miRNA/mRNA regulation pairs.

Abstract: A system for analyzing sequencing data of bacterial strains and a method thereof are provided. The method for analyzing sequencing data of bacterial strains includes the following steps: searching a specific variable region of a first genetic sample sequence and searching another specific variable region of a second genetic sample sequence; determining whether both the specific variable region and the another specific variable region have an identical cross-sample subsequence; if both the specific variable region and the another specific variable region have the identical cross-sample subsequence, storing the cross-sample subsequence into a recording table; and if the identical cross-sample subsequence exists, comparing the cross-sample subsequence with a plurality of gene sequences of known strains stored in a database module to analyze a plurality of strains corresponding to the cross-sample subsequence in the first genetic sample sequence and the second genetic sample sequence.

Abstract: A next generation sequencing analysis system and a next generation sequencing analysis method thereof are provided. The next generation sequencing analysis system receives a target gene input, and decides at least one gene group of the target gene input based on gene related information stored in a gene database.