Coursera - Statistics for Genomic Data Science

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Download Free Download : Coursera - Statistics for Genomic Data Science
mp4 | Video: h264,1152X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:657.78 MB
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Files Included :

Spoiler

01 welcome-to-statistics-for-genomic-data-science.mp4 (7.91 MB)
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05 what-is-statistics.mp4 (5.92 MB)
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06 finding-statistics-you-can-trust-4-44.mp4 (12.34 MB)
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07 getting-help-3-44.mp4 (5.94 MB)
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08 what-is-data-4-28.mp4 (11.69 MB)
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09 representing-data-5-23.mp4 (12.59 MB)
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01 module-1-overview-1-07.mp4 (3.15 MB)
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02 reproducible-research-3-42.mp4 (6.64 MB)
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03 achieving-reproducible-research-5-02.mp4 (8.46 MB)
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04 r-markdown-6-26.mp4 (16.2 MB)
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05 the-three-tables-in-genomics-2-10.mp4 (3.15 MB)
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06 the-three-tables-in-genomics-in-r-3-46.mp4 (6.29 MB)
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07 experimental-design-variability-replication-and-power-14-17.mp4 (19.86 MB)
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08 experimental-design-confounding-and-randomization-9-26.mp4 (13.89 MB)
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09 exploratory-analysis-9-21.mp4 (13.44 MB)
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10 exploratory-analysis-in-r-part-i-7-22.mp4 (12.61 MB)
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11 exploratory-analysis-in-r-part-ii-10-07.mp4 (17.97 MB)
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12 exploratory-analysis-in-r-part-iii-7-26.mp4 (14.6 MB)
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13 data-transforms-7-31.mp4 (13.61 MB)
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14 clustering-8-43.mp4 (11.28 MB)
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15 clustering-in-r-9-09.mp4 (17.62 MB)
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01 module-2-overview-1-12.mp4 (3.29 MB)
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02 dimension-reduction-12-13.mp4 (17.49 MB)
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03 dimension-reduction-in-r-8-48.mp4 (16.8 MB)
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04 pre-processing-and-normalization-11-26.mp4 (17.36 MB)
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05 quantile-normalization-in-r-4-49.mp4 (9.26 MB)
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06 the-linear-model-6-50.mp4 (9.83 MB)
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07 linear-models-with-categorical-covariates-4-08.mp4 (5.55 MB)
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08 adjusting-for-covariates-4-16.mp4 (6 MB)
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09 linear-regression-in-r-13-03.mp4 (24.88 MB)
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10 many-regressions-at-once-3-50.mp4 (5.23 MB)
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11 many-regressions-in-r-7-21.mp4 (14.91 MB)
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12 batch-effects-and-confounders-7-11.mp4 (11.83 MB)
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13 batch-effects-in-r-part-a-8-18.mp4 (16.53 MB)
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14 batch-effects-in-r-part-b-3-50.mp4 (8.05 MB)
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01 module-3-overview-1-07.mp4 (3.21 MB)
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02 logistic-regression-7-03.mp4 (9.34 MB)
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03 regression-for-counts-5-02.mp4 (7.24 MB)
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04 glms-in-r-9-28.mp4 (17.25 MB)
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05 inference-4-18.mp4 (5.62 MB)
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06 null-and-alternative-hypotheses-4-45.mp4 (6.65 MB)
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07 calculating-statistics-5-11.mp4 (6.85 MB)
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08 comparing-models-7-08.mp4 (9.29 MB)
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09 calculating-statistics-in-r.mp4 (18.99 MB)
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10 permutation-3-26.mp4 (4.87 MB)
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11 permutation-in-r-3-33.mp4 (6.44 MB)
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12 p-values-6-04.mp4 (8.07 MB)
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13 multiple-testing-8-25.mp4 (11.59 MB)
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14 p-values-and-multiple-testing-in-r-part-a-5-58.mp4 (11.21 MB)
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15 p-values-and-multiple-testing-in-r-part-b-4-23.mp4 (7.27 MB)
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01 module-4-overview-1-21.mp4 (3.54 MB)
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02 gene-set-enrichment-4-19.mp4 (6.57 MB)
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03 more-enrichment-3-59.mp4 (6.04 MB)
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04 gene-set-analysis-in-r-7-43.mp4 (14.47 MB)
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05 the-process-for-rna-seq-3-59.mp4 (5.55 MB)
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06 the-process-for-chip-seq-5-25.mp4 (7.6 MB)
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07 the-process-for-dna-methylation-5-03.mp4 (7.63 MB)
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08 the-process-for-gwas-wgs-6-12.mp4 (9.32 MB)
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09 combining-data-types-eqtl-6-04.mp4 (9.66 MB)
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10 eqtl-in-r-10-36.mp4 (19.16 MB)
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11 researcher-degrees-of-freedom-5-49.mp4 (9.57 MB)
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12 inference-vs-prediction-8-52.mp4 (12.53 MB)
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13 knowing-when-to-get-help-2-31.mp4 (4.58 MB)
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14 statistics-for-genomic-data-science-wrap-up-1-53.mp4 (5.52 MB)
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