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iatumhttps://sina.bio/claim/it-s-also-crucial-that-practitioners-understand-the-assumptions-implici-caa2b763https://sina.bio/claim/it-transcriptomic-distance-covaried-with-cortical-depth-distance-even-w-88d242bahttps://sina.bio/claim/iterating-through-the-pairs-with-the-spdep-implementation-is-so-slow-th-b872affehttps://sina.bio/claim/iterative-transcriptomic-clustering-ensured-every-cluster-pair-was-sepa-325ab373https://sina.bio/claim/itgb1-is-upregulated-in-aj-compared-to-b6-adj-p-value-0-01-lfc-1-and-it-7f5ec864https://sina.bio/claim/its-overexpression-promotes-adipo-genesis-and-fat-storage-contributing-0cbb8835https://sina.bio/claim/j-correlation-analysis-of-percentage-of-adipomatlo-expressed-as-of-all-90afe93bhttps://sina.bio/claim/j-correlation-of-percentage-of-adipocytes-expressed-as-of-all-cells-and-248f3bb7https://sina.bio/claim/jats-converts-mathml-to-latex-notationhttps://sina.bio/claim/jats-decision-letters-editor-reports-and-referee-reports-were-classifie-69e1ca28https://sina.bio/claim/jats-outputs-separate-manuscript-peer-review-and-author-response-markdo-f1958acbhttps://sina.bio/claim/jats-preserves-citation-reference-text-and-doi-linkshttps://sina.bio/claim/jats-to-markdown-conversion-reduced-file-size-by-about-65https://sina.bio/claim/jats-xml-enables-automated-rendering-version-control-and-large-scale-co-f0727b8chttps://sina.bio/claim/joint-cluster-results-were-highly-consistent-across-computational-methodshttps://sina.bio/claim/joint-modeling-of-mature-plus-ambiguous-and-nascent-counts-supports-bio-753d795dhttps://sina.bio/claim/joint-s-and-standard-analysis-enabled-calls-at-extremely-high-viral-levelshttps://sina.bio/claim/joint-transcriptomic-analysis-identified-116-cell-typeshttps://sina.bio/claim/jonathan-dreyfuss-and-drhttps://sina.bio/claim/just-as-the-discovery-of-overdispersion-in-rna-seq-data-led-to-the-wide-9253d06ehttps://sina.bio/claim/k-correlation-analyses-of-percentages-of-adipomatlo-subpopulations-6-8-12250e39https://sina.bio/claim/k-correlation-of-percentage-of-adipomatlo-expressed-as-of-all-mature-ad-1c3b0bf4https://sina.bio/claim/k-means-clustered-consolidation-matrices-when-domain-count-was-known-le-5310b846https://sina.bio/claim/k-means-clustering-was-used-by-default-to-identify-spatial-homogeneous-regionshttps://sina.bio/claim/k-means-identified-shrs-when-expected-anatomy-was-knownhttps://sina.bio/claim/k-mer-length-was-set-to-barcode-length-for-odd-lengths-and-one-less-for-5d07ea09https://sina.bio/claim/k-nearest-neighbor-graph-representations-of-transcriptomics-data-are-us-23404051https://sina.bio/claim/k-nearest-neighbor-graphs-are-used-for-visualizationhttps://sina.bio/claim/k-nearest-neighbor-graphs-are-used-in-many-clustering-algorithmshttps://sina.bio/claim/k562-data-showed-3-9-fold-fewer-ultima-genomics-alignments-than-illumin-6c19093bhttps://sina.bio/claim/kallisto-and-bustools-facilitate-efficient-and-modular-scrna-seq-and-sn-fa321718https://sina.bio/claim/kallisto-and-bustools-generated-an-all-pairs-i7-by-i5-matching-matrixhttps://sina.bio/claim/kallisto-and-bustools-preprocessing-workflows-are-easy-to-run-using-the-cae26a60https://sina.bio/claim/kallisto-and-bustools-quantify-data-against-the-mismatch-index-14fa01efhttps://sina.bio/claim/kallisto-and-bustools-quantify-data-against-the-mismatch-index-4405bdb7https://sina.bio/claim/kallisto-and-bustools-received-the-same-ten-threads-as-salmon-alevin-fr-051c7b54https://sina.bio/claim/kallisto-and-bustools-support-single-cell-rna-seq-quantificationhttps://sina.bio/claim/kallisto-and-bustools-support-single-nucleus-rna-seq-quantificationhttps://sina.bio/claim/kallisto-builds-an-index-from-target-sequences-to-which-rna-seq-reads-c-2c9372edhttps://sina.bio/claim/kallisto-bus-aligned-reads-to-the-combined-intronic-and-exonic-indexhttps://sina.bio/claim/kallisto-bus-maps-reads-to-an-index-and-records-barcode-umi-and-transcr-d0ebbe96https://sina.bio/claim/kallisto-bus-x-tech-i-index-idx-o-output-dir-t-8-batch-barcodes-batch-b-ad4096dfhttps://sina.bio/claim/kallisto-bus-x-tech-i-index-idx-o-output-dir-t-8-batch-barcodes-batch-b-f7664a81https://sina.bio/claim/kallisto-bustools-and-cell-ranger-showed-high-quality-control-concordan-a5656a53https://sina.bio/claim/kallisto-bustools-and-kb-python-are-free-open-source-rna-seq-analysis-toolshttps://sina.bio/claim/kallisto-bustools-and-kb-python-can-produce-gene-expression-quantificat-ff077a59https://sina.bio/claim/kallisto-bustools-and-salmon-alevin-fry-had-identical-workflow-structureshttps://sina.bio/claim/kallisto-bustools-and-salmon-alevin-fry-had-the-same-functionalityhttps://sina.bio/claim/kallisto-bustools-and-salmon-alevin-fry-produced-similar-single-cell-rn-f3f2a169https://sina.bio/claim/kallisto-bustools-can-construct-known-and-unknown-categories-for-rna-se-c4b61ae5https://sina.bio/claim/kallisto-bustools-cells-were-much-closer-to-matching-salmon-alevin-fry-0bef203ahttps://sina.bio/claim/kallisto-bustools-counts-umis-and-reads-consistentlyhttps://sina.bio/claim/ka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-review-a-single-cell-atlas-of-the-miracidium-larva-of-0cd46770https://sina.bio/publication/reviewer-1-public-review-direct-lineage-conversion-of-postnatal-mouse-c-73f133cdhttps://sina.bio/publication/reviewer-1-public-review-sleep-need-driven-oscillation-of-glutamate-syn-31832f0ehttps://sina.bio/publication/reviewer-2-public-review-a-single-cell-atlas-of-the-miracidium-larva-of-458bf1adhttps://sina.bio/publication/reviewer-2-public-review-direct-lineage-conversion-of-postnatal-mouse-c-5a98b48bhttps://sina.bio/publication/reviewer-2-public-review-sleep-need-driven-oscillation-of-glutamate-syn-3a72de01https://sina.bio/publication/revolver-a-low-cost-automated-protein-purifier-based-on-parallel-prepar-0db3f64bhttps://sina.bio/publication/revolver-a-low-cost-automated-protein-purifier-based-on-parallel-prepar-1e9909cdhttps://sina.bio/publication/riding-brain-waves-to-identify-human-memory-geneshttps://sina.bio/publication/rna-programmable-cell-type-monitoring-and-manipulation-in-the-human-cor-5ee643f3https://sina.bio/publication/rna-programmable-cell-type-monitoring-and-manipulation-in-the-human-cor-8142f127https://sina.bio/publication/rna-programmable-cell-type-monitoring-and-manipulation-in-the-human-cor-cb6682c9https://sina.bio/publication/rna-velocity-unraveled-35e8a67dhttps://sina.bio/publication/rna-velocity-unraveled-bce177d5https://sina.bio/publication/rna-velocity-unraveled-f3a0811ehttps://sina.bio/publication/robust-and-annotation-free-analysis-1-of-alternative-splicing-across-di-4eb4e53ahttps://sina.bio/publication/robust-and-annotation-free-analysis-of-alternative-splicing-across-dive-2e2d06c1https://sina.bio/publication/robust-and-annotation-free-analysis-of-alternative-splicing-across-dive-38b67c84https://sina.bio/publication/robust-axonal-regeneration-occurs-in-the-injured-cast-ei-mouse-cnshttps://sina.bio/publication/robust-enhancer-gene-regulation-identified-by-single-cell-transcriptome-e27d936ehttps://sina.bio/publication/robust-enhancer-gene-regulation-identified-by-single-cell-transcriptome-e786005ahttps://sina.bio/publication/robust-identification-of-cell-cell-communication-heterogeneity-in-single-cellshttps://sina.bio/publication/robust-induction-of-functional-astrocytes-using-ngn2-expression-in-huma-0216aedfhttps://sina.bio/publication/robust-induction-of-functional-astrocytes-using-ngn2-expression-in-huma-287c6a08https://sina.bio/publication/robust-single-cell-rna-seq-analysis-using-hyperdimensional-computing-en-f956abd7https://sina.bio/publication/role-for-msh5-in-the-regulation-of-ig-class-switch-recombinationhttps://sina.bio/publication/rubicon-a-framework-for-designing-efficient-deep-learning-based-genomic-1c998d1dhttps://sina.bio/publication/sage-a-lightweight-algorithm-architecture-co-design-for-mitigating-the-eb4e9743https://sina.bio/publication/saliva-as-a-gold-standard-sample-for-sars-cov-2-detectionhttps://sina.bio/publication/saliva-based-molecular-testing-for-sars-cov-2-that-bypasses-rna-extractionhttps://sina.bio/publication/saliva-diagnosticshttps://sina.bio/publication/salmon-provides-fast-and-bias-aware-quantification-of-transcript-expressionhttps://sina.bio/publication/sample-preparation-and-warping-accuracy-for-correlative-multimodal-imag-abb0cf1chttps://sina.bio/publication/sample-preparation-and-warping-accuracy-for-correlative-multimodal-imag-c0759f74https://sina.bio/publication/sample-specific-haplotype-resolved-protein-isoform-characterization-via-ddc4c785https://sina.bio/publication/sars-cov-2-epidemiology-on-a-public-university-campus-in-washington-sta-7a08dd79https://sina.bio/publication/sars-cov-2-epidemiology-on-a-public-university-campus-in-washington-sta-ac3bff59https://sina.bio/publication/sars-cov-2-infections-impaired-tissue-and-metabolic-health-pathophysiol-8601690dhttps://sina.bio/publication/sars-cov-2-mrna-vaccine-elicits-a-potent-adaptive-immune-response-in-th-4dd3c8a3https://sina.bio/publication/sars-cov-2-pandemic-in-a-sweet-era-parallels-between-unhealthy-aging-an-5a7ce40ehttps://sina.bio/publication/sascrip-a-python-workflow-for-preprocessing-umi-count-based-scrna-seq-d-5882a3a9https://sina.bio/publication/sascrip-a-python-workflow-for-preprocessing-umi-count-based-scrna-seq-datahttps://sina.bio/publication/satellite-cells-from-dystrophic-muscle-retain-regenerative-capacityhttps://sina.bio/publication/satellite-cells-the-engines-of-muscle-repairhttps://sina.bio/publication/saturation-genome-editing-of-ddx3x-clarifies-pathogenicity-of-germline-a50653a6https://sina.bio/publication/savor-a-reproducible-structural-variant-calling-and-benchmarking-platfo-60a03600https://sina.bio/publication/sbooeshaghi-browser-serial-first-releasehttps://sina.bio/publication/sc3s-efficient-scaling-of-single-cell-consensus-clustering-to-millions-8629d419https://sina.bio/publication/sc3s-efficient-scaling-of-single-cell-consensus-clustering-to-millions-9c1c319ehttps://sina.bio/publication/scaaga-single-cell-data-analysis-framework-using-asymmetric-autoencoder-6b410380h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