Number | Titles | Authors |
SUPP-D-20-00317 |
A tool for analyzing and visualizing ribosome profiling data at the isoform level | Joseph T. Tseng |
SUPP-D-20-00320 |
Modular signature of long non-coding RNA association networks as a prognostic biomarker in lung cancer | Albert Li |
SUPP-D-20-00322 |
SCYN: Single cell CNV profiling method using dynamic programming | Xikang Feng |
SUPP-D-20-00379 |
Integrated OMICs approach for the group 1 protease mite-allergen of house dust mite Dermatophagoides microceras. | Yu-Fan Liu |
SUPP-D-20-00417 |
Decoding herbal materials of TCM preparations with the multi-barcode sequencing approach: assessment of solidity on diverse set of preparations | Xue Zhu |
SUPP-D-20-00418 |
Gene Expression Data Classification Using Topology and Machine Learning Models | Soham Mukherjee |
SUPP-D-20-00447 |
Maximum Parsimony Reconciliation in the DTLOR Model | Ran Libeskind-Hadas |
SUPP-D-20-00449 |
Deep GONet: Self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data | Victoria Bourgeais |
SUPP-D-20-00453 |
Identifying health related occupations of Twitter Users through word embedding and deep neural networks | Gautam Srivastava |
SUPP-D-20-00459 |
Identification of fish species through tRNA-based primer design | Tun-Wen Pai |
SUPP-D-20-00460 |
Classification of microRNA Disease Association Based on k-mer Sequence Representation Only | Malik Yousef |
SUPP-D-20-00463 |
Ensemble learning for predicting ex vivo human placental barrier permeability | Chun-Wei Tung |
SUPP-D-20-00464 |
Predicting family physicians based on their practice using machine learning | Arunim Garg |
SUPP-D-20-00465 |
Deep neural network models for cell type prediction based on single-cell Hi-C data | Bing Zhou |
SUPP-D-20-00466 |
A novel miRNA-based classification model of risks and stages for clear cell renal cell carcinoma patients | Ka-Lok Ng |
SUPP-D-20-00468 |
Correlating Twitter Sentiments with COVID-19: A Tale of Three North American Cities | Andrew Fisher |
SUPP-D-20-00469 |
Deep learning and multi-omics approach to predict drug responses in cancer | Jagath Rajapakse |
SUPP-D-20-00470 |
Identification of novel miRNA signature for estimating survival time in patients with head and neck squamous cell carcinomas | Shinn-Ying Ho |
SUPP-D-20-00474 |
A clinical, genetic and image-aided computational model to infer the development of Alzheimer's disease spectrum | Fan Zhu |
SUPP-D-20-00475 |
The Protein-Protein Interaction Ontology: for Better Representing and Capturing the Biological Context of Protein Interaction | Mansheng Li |
SUPP-D-20-00477 |
Inferring miRNA-disease associations using collaborative filtering and resource allocation on a tripartite graph | Van Tinh Nguyen |
SUPP-D-20-00479 |
Survival-related genes are diversified across cancers but generally enriched in cancer hallmark pathways | Po-Wen Wang |
SUPP-D-20-00480 |
LCMD: Lung Cancer Metabolome Database | Hsin-Yi Wu |
SUPP-D-20-00481 |
A Common Methodological Phylogenomics Framework for intra-patient heteroplasmies to infer SARS-CoV-2 sublineages and tumor clones | Filippo Utro |
SUPP-D-20-00482 |
Learning Semi-Supervised Enrichment of Longitudinal Imaging-Genetic Data for Improved Prediction of Cognitive | Hoon Seo |
SUPP-D-20-00483 |
Alternative splicing plays key roles in response to stress across different stages of fighting in the fish Betta splendens | Norihiro Okada |
SUPP-D-20-00485 |
Pyramid Focusing Network for mutation prediction and classification in CT images | Vu Trieu-Duc |
SUPP-D-20-00486 |
Pattern recognition of Topology Association Domain using Deep Learning | Xukun Zhang |
SUPP-D-20-00488 |
GRAde: a long-read sequencing approach to efficiently identify the CYP11B1/CYP11B2 chimeric form in patients with glucocorticoid remediable aldosteronism | Chia-Lang Hsu |
SUPP-D-20-00489 |
Genome-wide identification of associations between enhancer and alternative splicing in human and mouse | Huai-Kuang Tsai |
SUPP-D-20-00491 |
Identification and comparative analysis of long non-coding RNAs in the brain of fire ant queens in two different reproductive states | Jia-Hsin Huang |
SUPP-D-20-00493 |
Evaluation validation of a qPCR curve analysis method and conventional approaches | Yashu Zhang |
SUPP-D-20-00497 |
MitoTox: a comprehensive mitochondrial toxicity database | An-Chi Wei |
SUPP-D-20-00499 |
Mining a Stroke Knowledge Graph from literature | Xi Yang |
SUPP-D-20-00501 |
Stratification of lncRNA modulation networks in breast cancer | Wen-Hsuan Yu |
SUPP-D-20-00503 |
CoMI: Consensus Mutual Information for Tissue-specific Gene Signatures | Sing-Han Huang |
SUPP-D-20-00505 |
Predicting subcellular location of protein with evolution information and sequence-based deep learning | Jijun Tang |
SUPP-D-20-00506 |
XGBCDA: A multiple heterogeneous networks-based method for predicting circRNA-disease associations | Shensi Yuan |
SUPP-D-20-00507 |
Constructing lncRNA-miRNA-mRNA networks specific to individual cancer patients and finding prognostic biomarkers | Kyungsook Han |
SUPP-D-20-00509 |
MultiSourcCFS:Inferring circRNA functional similarity based on multiple data sources | Liang Shu |
SUPP-D-20-00510 |
METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs | Zhenmiao Zhang |
SUPP-D-20-00511 |
Velo-Predictor: An Ensemble Learning Pipeline for RNA Velocity Prediction | Xin Wang |
SUPP-D-20-00512 |
CirPred, the first structure modelling and linker design system for circularly-permuted proteins | Wei-Cheng Lo |
SUPP-D-20-00532 |
Development and validation of an expanded targeted sequencing panel for noninvasive prenatal diagnosis of sporadic skeletal dysplasia | Yen-An Tang |
SUPP-D-20-00534 |
CircVIS: A platform for circRNA visual presentation | Kuei-Yang Hsiao |
Easychair-2 |
Resting state functional connectivity analysis during general anesthesia: A high-density EEG study | Ling Zou |
Easychair-5 |
Shaking the β-bulges | Alexandre G. de Brevern |
Easychair-10 |
A New Family of Similarity Measures for Scoring Confidence of Protein Interactions using Gene Ontology | Madhusudan Paul |
Easychair-11 |
Estimation of important binding sites in compounds that interact with proteins | Kouhei Tachibana |
Easychair-12 |
A Clinical Dataset and Various Baselines for Chromosome Instance Segmentation | Runhua Huang |
Easychair-14 |
SPP-CPI: Predicting Compound–Protein Interactions Based on Neural Networks | Xuelian Li |
Easychair-19 |
DeepSIRT: A Deep Neural Network for Identification of Sirtuin Targets and their Subcellular Localizations | Yu Yen Ou |
Easychair-21 |
Gene Expression Analysis of Combined RNA-seq Experiments Using a Receiver Operating Characteristic Calibrated Procedure | Shuen-Lin Jeng |
Easychair-23 |
A Tag Based Joint Extraction Model for Chinese Medical Text | XingYu Liu |
Easychair-24 |
MD-UNET: Multi-input Dilated U-shape Neural Network for Segmenta-tion of Bladder Cancer | Ruiquan Ge |
Easychair-26 |
MultiTrans: a novel algorithm for transcriptome assembly through mixed integer linear programming | Jin Zhao |
Easychair-28 |
GraphPlas: Refined Classification of Plasmid Sequences using Assembly Graphs | Anuradha Wickramarachchi |
Easychair-29 |
Pharmacophore anchor models of ATAT1 to discover potential inhibitors and lead optimization | Nung-Yu Hsu |
Easychair-31 |
Leveraging Sequential and Spatial Neighbors Information by Using CNNs Linked With GCNs for Paratope Prediction | Shuai Lu |
Easychair-34 |
An aggregation method to identify the RNA meta-stable secondary structure and its functionally interpretable structure ensemble | Tzu-Hsien Yang |
Easychair-36 |
An extensive examination of discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters using machine learning based approaches | Nguyen Trinh Trung Duong |
Easychair-38 |
Inferring gene regulatory network from single-cell transcriptomic data by integrating multiple prior networks | Yanglan Gan |
Easychair-40 |
Efficient Assembly Consensus Algorithms for Divergent Contig Sets | Manuel Lafond |