Preprocessing expression

This paper presents our approach that addresses the problem of transplanting a source speaker’s emotional expression to a target speaker, one of the Vietnamese Language and Speech Processsing (VLSP) 2022 TTS tasks. Our approach includes a complete data preprocessing pipeline and two training algorithms.

11p dianmotminh02 03-05-2024 6 2   Download

SCANPY is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory networks.

5p vialfrednobel 29-01-2022 6 0   Download

Standard preprocessing of single-cell RNA-seq UMI data includes normalization by sequencing depth to remove this technical variability, and nonlinear transformation to stabilize the variance across genes with different expression levels.

20p viarchimedes 26-01-2022 7 0   Download

MAESTRO provides functions for preprocessing, alignment, quality control, expression and chromatin accessibility quantification, clustering, differential analysis, and annotation. By modeling gene regulatory potential from chromatin accessibilities at the single-cell level, MAESTRO outperforms the existing methods for integrating the cell clusters between scRNAseq and scATAC-seq.

28p viarchimedes 26-01-2022 9 0   Download

Gene expression data produced on high-throughput platforms such as microarrays is susceptible to much variation that obscures useful biological information. Therefore, preprocessing data with a suitable normalization method is necessary, and has a direct and massive impact on the quality of downstream data analysis.

16p vioklahoma2711 19-11-2020 12 0   Download

Feature selection, aiming to identify a subset of features among a possibly large set of features that are relevant for predicting a response, is an important preprocessing step in machine learning. In gene expression studies this is not a trivial task for several reasons, including potential temporal character of data.

14p vioklahoma2711 19-11-2020 13 1   Download

RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and even more so transcript counting methods which avoid mapping and quantify gene and transcript expression by evaluating whether a read is compatible with a transcript, have led to significant speed-ups in data analysis.

11p vijisoo2711 27-10-2020 9 0   Download

Advances in single-cell RNA-seq technology have led to great opportunities for the quantitative characterization of cell types, and many clustering algorithms have been developed based on single-cell gene expression.

13p vicolorado2711 22-10-2020 17 0   Download

This paper introduces an approach to Twitter sentiment analysis, with the task of classifying tweets as positive, negative or neutral. In the preprocessing task, we propose a method to deal with two problems: (i) repeated characters in informal expression of words; and (ii) the affect of contrast word in determining sentence polarity.

7p visasuke2711 25-04-2019 13 1   Download

C# compiler offers preprocessing as first stage of translation: Can conditionally compile code, can control line numbers and file names reported by compiler, can emit warnings and errors, can define logical regions of source code.

15p tangtuy20 28-07-2016 30 1   Download

Preprocessor presents about Preprocessing; Preprocessor directives; Basic syntax; Creating symbols; Compiler option; Symbol states; Removing symbols; Testing symbol; Preprocessing expression; Controlling line number and file name; Diagnostic directives;...

0p cocacola_08 21-11-2015 31 1   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Spectral Preprocessing for Clustering Time-Series Gene Expressions

10p sting09 21-02-2012 39 3   Download