Sökresultat - "Transcriptomic data"

Biclustering for Epi-Transcriptomic Co-functional Analysis

Chen, Shutao^Aff3, Zhang, Lin^Aff3, Liu, Hui^Aff3

Astatke, Mekbib^Aff2, Walker, John M.^Aff1

Latest Advanced Artificial Intelligence Methods for Machine Learning Model-Based Predictive Parkinson's Disease Identification

Mohanakrishnan, Shankari Seethalakshmi

2025 International Conference on Intelligent Control, Computing and Communications (IC3)

MUSIC-GCN: A Novel Multi-Tasking Pipeline for Analyzing Single-Cell Transcriptomic Data Using Residual Graph Convolution Network

Liu, Y., Wei, G., Wu, J., Li, C., Yan, H., Shen, L., Gasser, R.B., Song, J., Chen, D., Yu, D.

SpaChat: Integrating Single-Cell Foundation Model with Cell Graph Network for Spatially Resolved Cell-Cell Communication Inference

Qiao, Debin, Ji, Boya, Xia, Hong, Peng, Shaoliang

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Deciphering Macromolecular Interactions Involved in Abiotic Stress Signaling: A Review of Bioinformatics Analysis

Gouesbet, Gwenola^Aff3

Couée, Ivan^Aff2, Walker, John M.^Aff1

Application of GeneCloudOmics: Transcriptomic Data Analytics for Synthetic Biology

Helmy, Mohamed^{Aff3, Aff4}, Selvarajoo, Kumar^{Aff3, Aff5, Aff6, Aff7}

Selvarajoo, Kumar^Aff2, Walker, John M.^Aff1

Constrained Pseudo-Time Ordering for Clinical Transcriptomics Data

Mathur, S., Mattoo, H., Bar-Joseph, Z.

Haptoglobin as a novel predictor of visceral involvement and relapse in adult IgAV patients

Bajželj, Matija^{Aff1, Aff2, Aff3}, Visočnik, Nina, Poljšak, Katjuša Mrak, Hladnik, Matjaž, Lakota, Katja^{Aff1, Aff2, IDs10067025073636_cor1}, Hočevar, Alojzija^{Aff1, Aff3}

Integrating Diverse Omics Data Using Graph Convolutional Networks: Advancing Comprehensive Analysis and Classification in Colorectal Cancer

Kumar, Rahul, Rao, T S, Walid, Md. Abul Ala, Kaliappan, S., Maranan, Ramya, Saratha, M.

2023 4th International Conference on Smart Electronics and Communication (ICOSEC)

SlicesMapi: An Interactive Three-Dimensional Registration Method for Serial Histological Brain Slices

Zhang, Zoutao, Cai, Lingyi, Li, Wenwei, Gong, Hui^{Aff1, Aff2}, Li, Anan^{Aff1, Aff2, Aff3, IDs12021025097247_cor1}, Feng, Zhao^{Aff2, Aff3, IDs12021025097247_cor2}

Deciphering early responsive signature genes in rice blast disease: an integrated temporal transcriptomic study

Antony, Ajitha, Veerappapillai, Shanthi, Karuppasamy, Ramanathan^{Aff1, IDs1335302400901z_cor3}

Identification and validation of defense related candidate genes in Sesamum under artificial inoculation of Macrophomina phaseolina

Najar, Mushtaq Ahmad, Gangophadhay, Gaurab^{Aff1, IDs13237024004906_cor1}

Identification and characterization of the TmSnRK2 family proteins related to chicoric acid biosynthesis in Taraxacum mongolicum

Qun Liu, Zhiqing Wu, Changyang Yu, Xiwu Qi, Hailing Fang, Xu Yu, Li Li, Yang Bai, Dongmei Liu, Zequn Chen, Guoyin Kai, Chengyuan Liang

electronic resource

Visa

Integrating transcriptomic data with a novel drug efficacy prediction model for TCM active compound discovery

Yingcan Li, Yu Shen, Yezi Cai, Yulin zhang, Jiahui Gao, Lei Huang, Weinuo Si, Kai Zhou, Shan Gao, Qichao Luo

electronic resource

Visa

Multi-objective Optimization for Marker Panel Identification in Single-cell Data

Tangherloni, Andrea, Riva, Simone G., Myers, Brynelle, Cazzaniga, Paolo

2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data

Oshternian, S. R., Loipfinger, S., Bhattacharya, A., Fehrmann, R. S. N.^{Aff1, IDs12859024057956_cor4}

Cirscan: a shiny application to identify differentially active sponge mechanisms and visualize circRNA–miRNA–mRNA networks

Fraboulet, Rose-Marie, Si Ahmed, Yanis, Aubry, Marc, Corre, Sebastien, Galibert, Marie-Dominique^{Aff1, Aff3}, Blum, Yuna^{Aff1, IDs1285902405668y_cor6}

scRCA: A Siamese network-based pipeline for annotating cell types using noisy single-cell RNA-seq reference data

Liu, Yan ^{a, 1}, Li, Chen ^{b, 1}, Shen, Long-Chen ^c, Yan, He ^c, Wei, Guo ^d, Gasser, Robin B. ^e, Hu, Xiaohua ^f, Song, Jiangning ^{b, e, ⁎}, Yu, Dong-Jun ^{c, ⁎⁎}

The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data

Tangherloni, Andrea, Riva, Simone G., Spolaor, Simone, Besozzi, Daniela, Nobile, Marco S., Cazzaniga, Paolo

2021 IEEE Congress on Evolutionary Computation (CEC)

Analysis of the cross-study replicability of tuberculosis gene signatures using 49 curated human transcriptomic datasets

Wang, Xutao ^a, Harper, Katie ^b, Sinha, Pranay ^c, Johnson, W. Evan ^d, Patil, Prasad ^{a, ⁎}