This is a table of authors, titles, dates and other bibliographic information; it is a list metadata describing the content of your study carrel. Think of it as your library.
| id | author | title | date | words | sentences | pages | cache | text |
|---|---|---|---|---|---|---|---|---|
| 10_1101-2021_01_08_425976 | Ahuja, Yuri | Semi-supervised Calibration of Risk with Noisy Event Times (SCORNET) Using Electronic Health Record Data | 2021 | 72.0 | 16.0 | nan | ./cache/10_1101-2021_01_08_425976.pdf | ./txt/10_1101-2021_01_08_425976.txt |
| 10_1101-2021_01_06_425581 | Alicea, Bradly J | Periodicity in the embryo: emergence of order in space, diffusion of order in time | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_07_425637 | Arneson, Adriana | A mammalian methylation array for profiling methylation levels at conserved sequences | 2021 | 12153.0 | 1117.0 | 39.0 | ./cache/10_1101-2021_01_07_425637.pdf | ./txt/10_1101-2021_01_07_425637.txt |
| 10_1101-2020_10_26_351783 | Badam, Tejaswi V.S. | A validated generally applicable approach using the systematic assessment of disease modules by GWAS reveals a multi-omic module strongly associated with risk factors in multiple sclerosis | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_06_425494 | Baldwin, Quenisha | The topological free energy of proteins | 2021 | 72.0 | 16.0 | nan | ./cache/10_1101-2021_01_06_425494.pdf | ./txt/10_1101-2021_01_06_425494.txt |
| 10_1101-332965 | Banerjee, Arpita | Identification and design of vinyl sulfone inhibitors against Cryptopain-1 – a cysteine protease from cryptosporidiosis-causing Cryptosporidium parvum | 2021 | 9346.0 | 1457.0 | 30.0 | ./cache/10_1101-332965.pdf | ./txt/10_1101-332965.txt |
| 10_1101-2020_01_29_925354 | Bartoszewicz, Jakub M. | Interpretable detection of novel human viruses from genome sequencing data | 2021 | 13578.0 | 1392.0 | 14.0 | ./cache/10_1101-2020_01_29_925354.pdf | ./txt/10_1101-2020_01_29_925354.txt |
| 10_1101-2021_01_08_425967 | Camacho-Hernández, Diego A. | Partition Quantitative Assessment (PQA): A quantitative methodology to assess the embedded noise in clustered omics and systems biology data | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_07_425716 | Cao, Yingying | Comprehensive comparison of transcriptomes in SARS-CoV-2 infection: alternative entry routes and innate immune responses | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_06_425569 | Chen, Li | Metabolite discovery through global annotation of untargeted metabolomics data | 2021 | 11555.0 | 1084.0 | 31.0 | ./cache/10_1101-2021_01_06_425569.pdf | ./txt/10_1101-2021_01_06_425569.txt |
| 10_1101-2021_01_04_425315 | Chen, Lulu | Sample-wise unsupervised deconvolution of complex tissues | 2021 | 7333.0 | 1028.0 | 29.0 | ./cache/10_1101-2021_01_04_425315.pdf | ./txt/10_1101-2021_01_04_425315.txt |
| 10_1101-2021_01_06_425550 | Chen, Nae-Chyun | Improving variant calling using population data and deep learning | 2021 | 6912.0 | 754.0 | 17.0 | ./cache/10_1101-2021_01_06_425550.pdf | ./txt/10_1101-2021_01_06_425550.txt |
| 10_1101-2021_01_07_425794 | Chisanga, David | Impact of gene annotation choice on the quantification of RNA-seq data | 2021 | 9715.0 | 1233.0 | 24.0 | ./cache/10_1101-2021_01_07_425794.pdf | ./txt/10_1101-2021_01_07_425794.txt |
| 10_1101-436634 | Cotto, Kelsy C. | RegTools: Integrated analysis of genomic and transcriptomic data for the discovery of splicing variants in cancer | 2021 | 14993.0 | 1337.0 | 48.0 | ./cache/10_1101-436634.pdf | ./txt/10_1101-436634.txt |
| 10_1101-2021_01_05_425409 | Dholakia, Dhwani | HLA-SPREAD: A comprehensive resource for HLA associated diseases, drug reactions and SNPs across populations | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_05_425384 | Halilaj, Iva | Covid19Risk.ai: An open source repository and online calculator of prediction models for early diagnosis and prognosis of Covid-19 | 2021 | 5110.0 | 1327.0 | 17.0 | ./cache/10_1101-2021_01_05_425384.pdf | ./txt/10_1101-2021_01_05_425384.txt |
| 10_1101-2020_08_28_271981 | He, Jiahua | Full-length de novo protein structure determination from cryo-EM maps using deep learning | 2021 | 10020.0 | 1169.0 | 26.0 | ./cache/10_1101-2020_08_28_271981.pdf | ./txt/10_1101-2020_08_28_271981.txt |
| 10_1101-2021_01_07_425801 | Hou, Yapeng | Fibrinolysis influences SARS-CoV-2 infection in ciliated cells | 2021 | 6841.0 | 912.0 | 18.0 | ./cache/10_1101-2021_01_07_425801.pdf | ./txt/10_1101-2021_01_07_425801.txt |
| 10_1101-2021_01_08_425887 | Hu, Yan | Auto-CORPus: Automated and Consistent Outputs from Research Publications | 2021 | 6886.0 | 553.0 | 10.0 | ./cache/10_1101-2021_01_08_425887.pdf | ./txt/10_1101-2021_01_08_425887.txt |
| 10_1101-2021_01_05_425508 | Iwasaki, Yuki | Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_04_425335 | Ji, Guoli | Learning association for single-cell transcriptomics by integrating profiling of gene expression and alternative polyadenylation | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2020_12_24_424332 | Jolly, Bani | Genetic epidemiology of variants associated with immune escape from global SARS-CoV-2 genomes | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_05_425414 | Lakatos, Eszter | LiquidCNA: tracking subclonal evolution from longitudinal liquid biopsies using somatic copy number alterations | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_06_425560 | Lengyel, Attila | Review and performance evaluation of trait-based between-community dissimilarity measures | 2021 | 15548.0 | 2320.0 | 50.0 | ./cache/10_1101-2021_01_06_425560.pdf | ./txt/10_1101-2021_01_06_425560.txt |
| 10_1101-2021_01_07_425782 | Lu, Tianyu | dynUGENE: an R package for uncertainty-aware gene regulatory network inference, simulation, and visualization | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2020_08_13_249839 | Lu, Tsung-Yu | Profiling variable-number tandem repeat variation across populations using repeat-pangenome graphs | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_07_425697 | Luo, Yin | Capsule network for protein ubiquitination site prediction | 2021 | 5391.0 | 552.0 | 14.0 | ./cache/10_1101-2021_01_07_425697.pdf | ./txt/10_1101-2021_01_07_425697.txt |
| 10_1101-2021_01_05_425266 | Morales, Manuel A. | DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_08_425952 | Nash, Anthony | rdrugtrajectory: An R Package for the Analysis of Drug Prescriptions in Electronic Health Care Records | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2020_12_26_424429 | Nayar, Gowri | Analysis and Forecasting of Global RT-PCR Primers for SARS-CoV-2 | 2021 | 4921.0 | 407.0 | 13.0 | ./cache/10_1101-2020_12_26_424429.pdf | ./txt/10_1101-2020_12_26_424429.txt |
| 10_1101-2021_01_04_425285 | Nugent, Cameron M. | debar, a sequence-by-sequence denoiser for COI-5P DNA barcode data | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2020_09_09_289074 | Ortuso, Francesco | Structural Genetics of circulating variants affecting the SARS-CoV-2 Spike / human ACE2 complex | 2021 | 7878.0 | 977.0 | 23.0 | ./cache/10_1101-2020_09_09_289074.pdf | ./txt/10_1101-2020_09_09_289074.txt |
| 10_1101-2021_01_06_425546 | Osthus, Dave | Fast and Accurate Influenza Forecasting in the United States with Inferno | 2021 | 72.0 | 16.0 | nan | ./cache/10_1101-2021_01_06_425546.pdf | ./txt/10_1101-2021_01_06_425546.txt |
| 10_1101-2020_11_13_381475 | Pabis, Kamil | Triplex and other DNA motifs show motif-specific associations with mitochondrial DNA deletions and species lifespan | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2020_05_22_110247 | Pacini, Clare | Integrated cross-study datasets of genetic dependencies in cancer | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2020_03_27_012757 | Peng, Da | Evaluating the transcriptional fidelity of cancer models | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_08_426008 | Pipes, Lenore | AncestralClust: Clustering of Divergent Nucleotide Sequences by Ancestral Sequence Reconstruction using Phylogenetic Trees | 2021 | 3682.0 | 382.0 | 7.0 | ./cache/10_1101-2021_01_08_426008.pdf | ./txt/10_1101-2021_01_08_426008.txt |
| 10_1101-2021_01_07_425773 | Robitaille, Michael C. | A Self-Supervised Machine Learning Approach for Objective Live Cell Segmentation and Analysis | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_08_425897 | Soleymanjahi, Saeed | APOBEC1 mediated C-to-U RNA editing: target sequence and trans-acting factor contribution to 177 RNA editing events in 119 murine transcripts in-vivo | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_08_425885 | Sritharan, Duluxan | Computing the Riemannian curvature of image patch and single-cell RNA sequencing data manifolds using extrinsic differential geometry | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_04_425250 | Thibodeau, Asa | A read count-based method to detect multiplets and their cellular origins from snATAC-seq data | 2021 | 9658.0 | 910.0 | 32.0 | ./cache/10_1101-2021_01_04_425250.pdf | ./txt/10_1101-2021_01_04_425250.txt |
| 10_1101-2021_01_02_425006 | Wang, Qi | Analysis of next- and third-generation RNA-Seq data reveals the structures of alternative transcription units in bacterial genomes | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_06_425544 | Wang, Xia | Complex Systems Analysis Informs on the Spread of COVID-19 | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2020_04_17_043323 | Waschke, Johannes | linus: Conveniently explore, share, and present large-scale biological trajectory data from a web browser | 2021 | 6528.0 | 571.0 | 13.0 | ./cache/10_1101-2020_04_17_043323.pdf | ./txt/10_1101-2020_04_17_043323.txt |
| 10_1101-2021_01_04_425288 | Wei, Qi | Predicting chemotherapy response using a variational autoencoder approach | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_08_425379 | Wilmes, Stephan | Competitive binding of STATs to receptor phospho-Tyr motifs accounts for altered cytokine responses in autoimmune disorders | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_08_425855 | Wu, Canbiao | DeepHBV: A deep learning model to predict hepatitis B virus (HBV) integration sites. | 2021 | 7280.0 | 806.0 | 31.0 | ./cache/10_1101-2021_01_08_425855.pdf | ./txt/10_1101-2021_01_08_425855.txt |
| 10_1101-2020_12_14_422697 | Yang, Tao | AdRoit: an accurate and robust method to infer complex transcriptome composition | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_08_425918 | Yogodzinski, Christopher H | A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy. | 2021 | nan | nan | nan | nan | nan |
| 10_1101-2021_01_05_425417 | Zielezinski, Andrzej | Taxonomy-aware, sequence similarity ranking reliably predicts phage-host relationships | 2021 | nan | nan | nan | nan | nan |